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notespace is an open source project hosted as a public repository on GitHub under the scicloj/notespace project. It is designed to enable users to use their namespace as a notebook. The project invites contributions from developers.
A personal blog by a PhD student at Berkeley that hosts notes and posts on data science, programming and machine learning topics. Entries include 15 principles for data scientists, C++11 learning notes, a Mandelbrot fractal in Python and notes from conference talks.
Colah's Blog hosts essays and notes on neural networks and interpretability, including sections on Transformer Circuits, Multimodal Neurons, and general neural network topics such as manifolds, topology, and representations. It also includes rough notes and personal writing.
Course materials and notes for the Stanford class CS231n: Deep Learning for Computer Vision. The notes accompany the Stanford CS class and cover topics organized in modules. Spring 2026 assignments are listed.
NeverWrite is a local-first knowledge workspace for notes and documents with AI assistance. Notes stay in a folder on the computer, and every AI edit arrives as a reviewable change that can be accepted, rejected or refined before it is written to the vault. It is free, open source under Apache 2.0, requires no account, and connects to models the user already pays for.
Progress notes, intake notes and treatment plans magically appear when you.
Open Notebook is an open-source, AI-powered note-taking and research platform focused on user privacy. It includes a podcast generator that transforms notes into customizable audio content, AI tools for summarizing notes and generating insights, granular privacy controls for AI data access, and support for integrating links, PDFs, text files, presentations, YouTube videos and other content types. The platform is designed for researchers, students, and learning enthusiasts.
A Simple Guide To The History Of Generative AI is an article on Bernard Marr's website that explains the history of generative AI. It covers sections including the birth of generative AI, key milestones, its impact, and its evolving narrative, and notes that generative AI differs from traditional rule-based AI systems by its ability to create content.
An article by Andy Baio examining how AI companies use datasets and models from academic and nonprofit research groups. It describes Meta's Make-A-Video using Shutterstock clips and YouTube videos collected by Microsoft, and notes nonprofit datasets used for Stable Diffusion and other models. It argues this outsourcing shifts accountability and legal liability away from corporations.
A page by pharmapsychotic collecting tools and resources for AI art, organized into sections such as text to image, upscaling, StyleGAN, text video, prompt engineering and music. It links to shared Google Colab notebooks for text-to-image work with pre-trained GAN and diffusion models, and notes Stable Diffusion WebUI for running SD locally.
Aman's AI Journal papers list compiles seminal and need-to-know computer vision papers, organized by publication year from 2010 onward. Entries include titles such as ImageNet Classification with Deep Convolutional Neural Networks, Generative Adversarial Networks, and Deep Residual Learning for Image Recognition. The site also offers course notes and learning material for Artificial Intelligence and Deep Learning Stanford classes.
Annotation Lab, referenced in its 4.10 release notes as NLP Lab 4.10, is a platform from John Snow Labs for annotation tasks. The 4.10 release added features including in-app trial license generation, enhanced commenting and tagging for labeling pages, improved task export filters, a video template for project content types, and fixes for visual NER task export JSON formatting.
Arena is a platform that allows users to interact with multiple open source and proprietary frontier AI models in a single interface for research, coding and creative tasks. It includes a model leaderboard feature, and notes that inputs are processed by third-party AI, so responses may be inaccurate.
Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.
Bloop is a fast code search engine written in Rust, distributed through GitHub releases. The repository was archived by its owner on Jan 2, 2025, and is now read-only. Release notes for versions v0.6.0 to v0.6.5 list changes such as explaining files in a user-set language, adding multiple files to code studio, code coloring for COBOL, and alternative input types for Chinese users.
Call Annie is a web guide or update reference covering changes, screenshots, notices, or community notes.
Cohere AI provides documentation for its natural language processing and generation API. The site offers guides, API references, release notes, cookbooks, and learning resources such as LLM University to help developers integrate Cohere's models.
A Botpress-published guide that explains large language model (LLM) agents, including their definition, core features, common types, and improvement techniques, and notes that LLM agents are AI systems for natural language tasks such as customer support and data analysis.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
d3py is a plotting library for Python based on D3. It builds on d3.js and the pandas DataFrame module to plot data from the command line or simple scripts into a browser window. Its README describes the code as an experiment, notes that it is not actively developed, and points to vincent as an alternative.
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms. The site describes it as among the top AI and machine learning podcasts in the world and notes that industry leaders have sponsored its initiative.
The Data Science Lab is a blog of experiments with data. Posts cover topics including k-means clustering, k-means++ seeding, the gap statistic, and an alternative approach to selecting the optimal number of clusters based on a 2004 publication by Pham, Dimov and Nguyen. A 2014 annual report notes the blog was viewed about 74,000 times that year.
A podcast on data visualization hosted by Enrico Bertini and Moritz Stefaner. The site lists episode archives, news items and classics, and notes that transcriptions of 170 episodes were produced with Miska Knapek.
Devika is an open-source implementation of an Agentic Software Engineer, initially started as an alternative to Devin. It uses large language models, planning and reasoning algorithms, and web browsing to develop software from human instructions. The project is in an early experimental stage, and the repository notes that there are unimplemented or broken features.
