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P5.soundDuring December 2023 we are sunsetting, archiving and deprecating this repository and version of the p5.sound project, while we prepare the release of the new version of the library, currently being built at brings the Processing approach to Web Audio as an addon for p5.js. Functionality includes audio input, playback, manipulation, effects, recording, sequencing, analysis and synthesis. The library is designed to be used in tandem with p5.js.Between February 2023 - December 2023, this repository was maintained by aarón montoya-moraga (@montoyamoraga), in their role of Processing p5.js sound Fellow.ExamplesExamples at p5js.org/examplesAdditional examples at processing.github.io/p5.js-soundp5.js Sound Tutorial by Dan Shiffman on YouTubeDocumentationInteractive documentation at p5js.org/reference/#/libraries/p5.soundLatest BuildVisit for the latest official release of p5 with the latest p5.sound included.The sound library here is updated more frequently, and we occasionally offer new releases before the release cycle of p5.js.ContributeHere's a guide to contribute to the p5.js project to help you getting started as a contributor.Note : If you have any questions or concerns regarding the project, you can reach out to our Discord and Gitter communities. The p5.js team closely monitors all pull requests and issues on GitHub, so there's no need to also post them on Discord. Additionally, conversations about specific pull requests and issues should take place on GitHub, to ensure that people following along over can see and take part in the whole discussion.Dependenciesp5.sound is built with a few modules (Clock, TimelineSignal, and signal math components) from Tone.js, an interactive music framework developed by Yotam Mann.References and InspirationYotam Mann & Download p5-App-Control packages for FreeBSD. p5-App-Control latest versions: 1.07. p5-App-Control architectures: aarch64, amd64. p5-App-Control linux packages: pkg Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)This repo presents implementation of the P5 large language model (LLM) for recommendation:Paper: Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) Paper link: reorganized and simplified repo of P5 called OpenP5 is also available on GitHub, which is an open-source library for benchmarking foundation models for recommendation under the Pre-train, Personalized Prompt and Predict Paradigm (P5):Paper: OpenP5: Benchmarking Foundation Models for Recommendation Paper link: GitHub link: relevant repo regarding how to create item ID for recommendation foundation models is available here:Paper: How to Index Item IDs for Recommendation Foundation Models Paper link: GitHub link: present a flexible and unified Big Foundation Model for recommendation, which is the "Pretrain, Personalized Prompt, and Predict Paradigm" (P5) for recommendation. It unifies various recommendation tasks in a shared framework. In P5, all data such as user-item interactions, item metadata, and user reviews are converted to a common format -- natural language sequences. Specifically, P5 learns different tasks with the same language modeling objective during pretraining. Thus, it serves as the foundation model for downstream recommendation tasks, allows easy integration with other modalities, and enables instruction-based recommendation based on prompts. P5 advances recommender systems from shallow model to deep model to big model, and will revolutionize the technical form of recommender systems towards universal recommendation engine. With adaptive personalized prompt for different users, P5 is able to make predictions in a zero-shot or few-shot manner and largely reduces the necessity for extensive fine-tuning. On several recommendation benchmarks, we conduct experiments to show the effectiveness of P5. To help advance future research on Recommendation as Language Processing (RLP), Personalized Foundation Models (PFM), and Universal Recommendation Engine (URE), the source code, dataset, prompts, and pretrained P5 models are relased at this repository.Requirements:Python 3.9.7PyTorch 1.10.1transformers 4.2.1tqdmnumpysentencepiecepyyamlUsageClone this repogit clone preprocessed data from this Google Drive link, then put them into the data folder. If you would like to preprocess your own data, please follow the jupyter notebooks in the preprocess folder. Raw data can be downloaded from this Google Drive link, then put them into the raw_data folder.Download pretrained checkpoints into snap folder. If you would like to train your own P5 models, snap folder will also be used to store P5 checkpoints.Pretrain with scripts in scripts folder, such asbash scripts/pretrain_P5_base_beauty.sh 4Here 4 means using 4 GPUs to conduct parallel pretraining.Evaluate with example jupyter notebooks in the notebooks folder. Before testing, create a soft link of data folder to the notebooks folder bycd notebooksln -s ../data .Pretrained CheckpointsSee CHECKPOINTS.md.You can also explore P5 in Hugging Face Hub ( cite the following paper corresponding to the repository:@inproceedings{geng2022recommendation, title={Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt \& Predict Paradigm (P5)}, author={Geng, Shijie and Liu, Shuchang and Fu, Zuohui and Ge, Yingqiang and Zhang, Yongfeng}, booktitle={Proceedings of the Sixteenth ACM Conference on Recommender Systems}, year={2022}}AcknowledgementsVL-T5, PETER, and S3-RecComments
P5.soundDuring December 2023 we are sunsetting, archiving and deprecating this repository and version of the p5.sound project, while we prepare the release of the new version of the library, currently being built at brings the Processing approach to Web Audio as an addon for p5.js. Functionality includes audio input, playback, manipulation, effects, recording, sequencing, analysis and synthesis. The library is designed to be used in tandem with p5.js.Between February 2023 - December 2023, this repository was maintained by aarón montoya-moraga (@montoyamoraga), in their role of Processing p5.js sound Fellow.ExamplesExamples at p5js.org/examplesAdditional examples at processing.github.io/p5.js-soundp5.js Sound Tutorial by Dan Shiffman on YouTubeDocumentationInteractive documentation at p5js.org/reference/#/libraries/p5.soundLatest BuildVisit for the latest official release of p5 with the latest p5.sound included.The sound library here is updated more frequently, and we occasionally offer new releases before the release cycle of p5.js.ContributeHere's a guide to contribute to the p5.js project to help you getting started as a contributor.Note : If you have any questions or concerns regarding the project, you can reach out to our Discord and Gitter communities. The p5.js team closely monitors all pull requests and issues on GitHub, so there's no need to also post them on Discord. Additionally, conversations about specific pull requests and issues should take place on GitHub, to ensure that people following along over can see and take part in the whole discussion.Dependenciesp5.sound is built with a few modules (Clock, TimelineSignal, and signal math components) from Tone.js, an interactive music framework developed by Yotam Mann.References and InspirationYotam Mann &
2025-04-15Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)This repo presents implementation of the P5 large language model (LLM) for recommendation:Paper: Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) Paper link: reorganized and simplified repo of P5 called OpenP5 is also available on GitHub, which is an open-source library for benchmarking foundation models for recommendation under the Pre-train, Personalized Prompt and Predict Paradigm (P5):Paper: OpenP5: Benchmarking Foundation Models for Recommendation Paper link: GitHub link: relevant repo regarding how to create item ID for recommendation foundation models is available here:Paper: How to Index Item IDs for Recommendation Foundation Models Paper link: GitHub link: present a flexible and unified Big Foundation Model for recommendation, which is the "Pretrain, Personalized Prompt, and Predict Paradigm" (P5) for recommendation. It unifies various recommendation tasks in a shared framework. In P5, all data such as user-item interactions, item metadata, and user reviews are converted to a common format -- natural language sequences. Specifically, P5 learns different tasks with the same language modeling objective during pretraining. Thus, it serves as the foundation model for downstream recommendation tasks, allows easy integration with other modalities, and enables instruction-based recommendation based on prompts. P5 advances recommender systems from shallow model to deep model to big model, and will revolutionize the technical form of recommender systems towards universal recommendation engine. With adaptive personalized prompt for different users, P5 is able to make predictions in a zero-shot or few-shot manner and largely reduces the necessity for extensive fine-tuning. On several recommendation benchmarks, we conduct experiments to show the effectiveness of P5. To help advance future research on Recommendation as Language Processing (RLP), Personalized Foundation Models (PFM), and Universal Recommendation Engine (URE), the source code, dataset, prompts, and pretrained P5 models are relased at this repository.Requirements:Python 3.9.7PyTorch 1.10.1transformers 4.2.1tqdmnumpysentencepiecepyyamlUsageClone this repogit clone preprocessed data from this Google Drive link, then put them into the data folder. If you would like to preprocess your own data, please follow the jupyter notebooks in the preprocess folder. Raw data can be downloaded from this Google Drive link, then put them into the raw_data folder.Download pretrained checkpoints into snap folder. If you would like to train your own P5 models, snap folder will also be used to store P5 checkpoints.Pretrain with scripts in scripts folder, such asbash scripts/pretrain_P5_base_beauty.sh 4Here 4 means using 4 GPUs to conduct parallel pretraining.Evaluate with example jupyter notebooks in the notebooks folder. Before testing, create a soft link of data folder to the notebooks folder bycd notebooksln -s ../data .Pretrained CheckpointsSee CHECKPOINTS.md.You can also explore P5 in Hugging Face Hub ( cite the following paper corresponding to the repository:@inproceedings{geng2022recommendation, title={Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt \& Predict Paradigm (P5)}, author={Geng, Shijie and Liu, Shuchang and Fu, Zuohui and Ge, Yingqiang and Zhang, Yongfeng}, booktitle={Proceedings of the Sixteenth ACM Conference on Recommender Systems}, year={2022}}AcknowledgementsVL-T5, PETER, and S3-Rec
2025-04-18Welcome! 👋👋🏿👋🏽👋🏻👋🏾👋🏼p5.js is a free and open-source JavaScript library for accessible creative coding. It is a nurturing community, an approachable language, an exploratory tool, an accessible environment, an inclusive platform, welcoming and playful for artists, designers, educators, beginners, and anyone else!function setup() { createCanvas(400, 400); background(255);}function draw() { circle(mouseX, mouseY, 80);}Get Started — Reference — Tutorials — Examples — Libraries — Forum — DiscordAboutp5.js is built and organized to prioritize accessibility, inclusivity, community, and joy. Similar to sketching, p5.js has a full set of tools to draw. It also supports creating audio-visual, interactive, experimental, and generative works for the web. p5.js enables thinking of a web page as your sketch. p5.js is accessible in multiple languages and has an expansive documentation with visual examples. You can find tutorials on the p5.js website and start coding right now in the p5.js web editor. You can extend p5.js with many community-created libraries that bring different capabilities. Its community provides endless inspiration and support for creators.p5.js encourages iterative and exploratory code for creative expression. Its friendly, diverse community shares art, code, and learning resources to help elevate all voices. We share our values in open source and access for all, to learn, create, imagine, design, share and code freely.CommunityThe p5.js community shares an interest in exploring the creation of art and design with technology. We are a community of, and in solidarity with, people from every gender identity and expression, sexual orientation, race, ethnicity, language, neuro-type, size, disability, class, caste, religion, culture, subculture, immigration status, age, skill level, occupation, and background. We stand in solidarity with justice and liberation movements. We work to acknowledge, dismantle, and prevent barriers to access p5.js code and the p5.js community.Learn more about our community and read our community statement and code of conduct. You can directly support our work with p5.js by donating to the Processing Foundation.IssuesIf you have found a bug in the p5.js library or want to request new features, feel free to file an issue! See our contributor guidelines for a full reference of our contribution process. A set of templates for reporting issues and requesting features are provided to assist you (and us!). Different parts of p5.js are in different repositories. You can open an issue on each of them through these links:p5.js — p5.js website —- p5.js web editorp5.js is maintained mostly by volunteers, so we thank you for your patience as we try to address your issues as soon as we can.Get Started for Contributorsp5.js is a collaborative project with many contributors, mostly volunteers, and you are invited to help. All types of involvement are welcome. See the contribute for more in-depth details about contributing to different areas of the project, including code, bug fixes, documentation, discussion, and more.A quick Getting Started with the Build and setting up the repository could be found here.StewardsStewards are contributors who are particularly involved, familiar, or responsive to certain areas of the project. Their role is to help provide context and guidance to others working
2025-04-14On p5.js. If you have a question about contributing to a particular area, you can tag the listed steward in an issue or pull request. They may also weigh in on feature requests and guide the overall direction of their area, with the input of the community. You can read more about the organization of the project in our p5.js Contributor Guidelines and p5.js Steward Guidelines.Anyone interested can volunteer to be a steward! There are no specific requirements for expertise, just an interest in actively learning and participating. If you’re familiar with or interested in actively learning and participating in some of the p5.js areas below, please reply to this issue mentioning which area(s) you are interested in volunteering as a steward! 👋👋👋p5.js was created by Lauren Lee McCarthy in 2013 as a new interpretation of Processing for the context of the web. Since then we have allowed ourselves space to deviate and grow, while drawing inspiration from Processing and our shared community. p5.js is sustained by a community of contributors, with support from the Processing Foundation. p5.js follows a rotating leadership model started in 2020, and Qianqian Ye has been leading p5.js since 2021. Learn more about the people behind p5.js.Current Lead/Mentor@ksen0 - p5.js Lead,2024-present@limzykenneth - p5.js Mentor,2023-presentLead/Mentor Alumni@lmccart- p5.js Creator@qianqianye - p5.js Lead,2021-2024@outofambit - p5.js Co-Lead 2021-22, Mentor 2022-2023@mcturner1995 - p5.js Lead 2020AreaSteward(s)Overall@ksen0Accessibility@calebfoss, @cosmicbhejafry, @apoorva-a98, @tedkmburu, @Zarkv, @SkylerW99, @itsjoopark, @hannahvy, @nhasalajoshiColor@paulaxisabel, @SoundaryaKoutharapu, @mrbrack, @TJ723, @Zarkv, @SkylerW99, @ramya202000, @hannahvy, @robin-haxx, @hiddenenigmaCore/Environment/Rendering@limzykenneth, @davepagurek, @ChihYungChang, @teragramgius, @tuminzee, @Zarkv, @robin-haxx, @Gaurav-1306Data@angelabelle, @shahankhatch, @TanviKumar, @SkylerW99, @nhasalajoshiDOM@SarveshLimaye, @SoundaryaKoutharapu, @ramya202000, @BamaCharanChhandogi, @Obi-Engine10, @MarceloGoncalves, @hiddenenigmaEvents@limzykenneth, @richardegil, @angelabelle, @littlejacinthe, @TanviKumar, @tuminzeeImage@cgusb, @albertomancia, @ramya202000, @hannahvy, @robin-haxxIO@limzykenneth, @Pritam1136, @shahankhatch, @TanviKumar, @jeanetteandrewsMath@limzykenneth, @ericnlchen, @ChihYungChang, @bsubbaraman, @albertomancia, @JazerUCSB, @tedkmburu, @perminder-17, @Obi-Engine10, @jeanetteandrewsTypography@dhowe, @paulaxisabel, @SarveshLimaye, @SkylerW99, @BamaCharanChhandogi, @Obi-Engine10, @hannahvy, @singshris, @hiddenenigmaUtilities@limzykenneth, @glopzelWebGL@davepagurek, @aferriss, @aceslowman, @ShenpaiSharma, @ChihYungChang, @teragramgius, @JazerUCSB, @richardegil, @itsjoopark, @Gaurav-1306, @jeanetteandrewsInternalization@limzykennethFriendly Errors@richardegil, @itsjoopark, @hannahvy, @bisabi-01, @singshrisContributor Docs@limzykenneth, @asukaminato0721, @SoundaryaKoutharapu, @richardegil, @hannahvy, @bayomayop5.sound@miguellacorte, @JazerUCSB, @angelabelle, @littlejacinthe, @hannahvy, @glopzel, @singshris, @jeanetteandrewsBuild Process/Unit Testing@limzykennethContributorsWe recognize all types of contributions. This project follows the all-contributors specification and the Emoji Key ✨ for contribution types. Instructions to add yourself or add contribution emojis to your name are here. You can also post an issue or comment on a pull request with the text: @all-contributors please add @YOUR-USERNAME for THINGS (where THINGS is a comma-separated list of entries from the list of possible contribution types) and our nice bot will add you. Lauren McCarthy Jason Sigal Karen Evelyn Eastmond Daniel Shiffman Casey Reas Ben Fry Kenneth Lim🐛 💻 📖 kate hollenbach Stalgia Grigg Jerel Johnson Saksham Saxena saber khan Daniel Howe Kevin Siwoff Atul Varma Jess Klein uno seis tres susan evans Saskia Freeke Phoenix Perry jesse cahn-thompson Lee T Chelly Jin L05 DIYgirls lam802 Maya Man Tega Brain luisaph AlM Chng aarón montoya-moraga Cassie Tarakajian Niklas Peters📖 ✅ Mathura MG Yining Shi Jen Kagan Jiashan Wu Marc Abbey K.Adam White Eden Cridge💻 🐛 👀 ⚠️ Michael Hadley Todd H. Page Jared Sprague💻 📖 💡 💵 ⚠️ 🐛 evelyn masso Blaize Kaye Sanchit Kapoor Oliver Wright Matthew
2025-04-05Daftar Isi Apa Itu P5 dalam Kurikulum Merdeka? Prinsip-prinsip P5 1. Holistik 2. Kontekstual 3. Berpusat pada Peserta Didik 4. Eksploratif Manfaat P5 Jakarta - Salah satu karakteristik dari Kurikulum Merdeka adalah adanya Projek Penguatan Profil Pelajar Pancasila (P5). Karakteristik ini fokus pada pengembangan kompetensi dan karakter pelajar melalui belajar kelompok seputar isu penting dalam konteks nyata di sekitarnya.Hal utama yang jadi fokus dalam P5 adalah proses pembelajaran yang dapat mengembangkan kompetensi dan karakter pelajar dan bukan semata hasil atau produk, demikian dikutip dari Balai Penjaminan Mutu Pendidikan Provinsi Banten.P5 adalah projek yang akan menemukan jawaban atas pertanyaan mengenai peserta didik dengan kompetensi seperti yang ingin dihasilkan oleh sistem pendidikan Indonesia.ADVERTISEMENTSCROLL TO CONTINUE WITH CONTENTProjek ini diselenggarakan melalui penanaman karakter pada pribadi peserta didik berdasarkan nilai-nilai Pancasila. Sebagaimana dijelaskan melalui artikel Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi (Kemendikbudristek), P5 mengandung upaya menjadikan peserta didik sebagai penerus bangsa yang unggul serta produktif sekaligus mampu berpartisipasi dalam pembangunan global yang berkesinambungan.Prinsip-prinsip P51. HolistikPrinsip holistik dalam P5 adalah prinsip yang memandang segala sesuatu secara keseluruhan. Kerangka berpikir holistik akan mendorong peserta didik untuk mempelajari tema dan materi secara keseluruhan serta memahami persoalan dengan mendalam.Prinsip holistik juga memotivasi siswa supaya bisa melihat koneksi yang bermakna antarkomponen dalam pelaksanaan P5, seperti pendidik, peserta didik, dan lainnya.2. KontekstualKontekstual adalah prinsip yang berkorelasi dengan usaha mendasarkan kegiatan pembelajaran pada pengalaman nyata dalam kehidupan sehari-hari. Prinsip ini akan memotivasi pendidik dan peserta didik untuk bisa menjadikan lingkungan dan realitas kehidupan sebagai bahan utama pembelajaran.3. Berpusat pada Peserta DidikPrinsip ini menjadikan peserta didik sebagai subjek pembelajaran aktif. Sementara, pendidik dijadikan sebagai fasilitator pembelajaran yang memberi banyak kesempatan untuk peserta didik dalam mengeksplorasi dorongan diri sendiri sesuai dengan kondisi dan kemampuannya.4. EksploratifPrinsip eksploratif berhubungan dengan semangat untuk membuka ruang bagi proses pengembangan diri dan inkuiri, baik yang terstruktur maupun bebas. P5 juga mempunyai wilayah eksplorasi yang luar dari segi jangkauan materi peserta didik, alokasi waktu, juga penyesuaian dengan tujuan pembelajaran.Prinsip eksploratif pun memiliki upaya mendorong peran P5 menggenapkan dan memperkuat kemampuan yang diperoleh siswa dalam didikan intrakurikuler.Manfaat P5Memberi ruang dan waktu kepada siswa untuk mengembangkan kompetensi dan memperkuat karakter dan profil pelajar Pancasila.Mengembangkan kompetensi sebagai pendidik yang terbuka untuk saling bekerja sama dengan pendidik dari mata pelajaran lain agar memperkaya hasil pembelajaran.Merencanakan proses pembelajaran projek profil dengan tujuan akhir yang jelas.Menjadikan satuan pendidikan sebagai organisasi pembelajaran yang memberi kontribusi kepada komunitas dan lingkungan sekitarnya.Menjadikan satuan pendidikan sebagai ekosistem yang terbuka untuk partisipasi masyarakat.Itulah penjelasan mengenai P5 dalam Kurikulum Merdeka. Dapat dikatakan, P5 memberi ruang untuk seluruh anggota satuan pendidikan dalam mempraktikkan profil pelajar Pancasila. (nah/nwy)
2025-03-30Getting ready for the Primary 5 (P5) Continual Assessment 2 (CA2) Maths exam in Singapore is now easy. You can find many free download p5 ca2 maths paper resources and practice materials. These can help your child do better in the primary 5 maths exam paper and understand the singapore math curriculum better. This is great for parents wanting to help their kids or students wanting to improve their math skills. For primary 5 students, practicing math is key. Using p5 mathematics assessment and primary 5 maths exam paper questions helps a lot. It makes them understand math better and feel more confident. In Singapore, the primary school math test is very important. It checks how well students are doing. By doing math practice questions often, students can see what they’re good at and what they need to work on. This helps them get better at math skills assessment. By practicing with primary 5 maths exam paper resources often, students can learn a lot. This helps them do their best in the p5 mathematics assessment. The P5 CA2 maths paper is a big test for primary 5 students in Singapore. It checks how well they understand the Singapore math curriculum. It also sees how good they are at different math concepts and skills. This test is important for seeing how students are doing and where they might need help. It includes topics from simple math to solving complex problems. It meets the primary school math test standards set by Singapore’s Ministry of Education. By doing the P5 CA2 maths paper, students show off their p5 mathematics assessment skills. They also get feedback to help them do better. This test is a big step in their school journey, getting them ready for future challenges. The P5 CA2 maths paper shows how tough and top-notch the Singapore math curriculum is. It’s known worldwide for building strong math skills in young students. Are you a Singapore student getting ready for your Primary 5 (P5) Math Continuous Assessment 2 (CA2)? We’ve got you covered! Here, we’re thrilled to give you direct access to download the P5 CA2 maths paper. This is a great tool for your exam prep. The P5 CA2 maths paper is key to the Singapore math curriculum. It checks your grasp of important math concepts. Downloading this paper lets you get used to the exam’s format and question types. You’ll also see the difficulty level you might face on the real test. By downloading and using this P5 CA2 maths paper, you’re on your way to doing great in your math exam. Remember, regular practice and knowing the curriculum well are crucial for your success. We also have a lot of exam preparation materials and primary education resources to help you in school. Check out our collection and find the tools that can make you stand out in your primary education. Getting ready for the P5 CA2 maths paper means knowing the Singapore math curriculum. This test checks if students know
2025-03-28