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(cheaper PDF version) provides AI-assisted learning, courses, tutorials, or study support.
Activeloop is the company behind Deeplake, described as a GPU database for agents. Its stack lists three surfaces: Deeplake, a database combining vector and tensor storage with GPU streaming to fine-tuning; Hivemind, which turns agent traces into shared organization memory; and Refinery, a software factory for continuous learning that includes database optimization, kernel generation and physical AI policy optimization.
AI Engineer Pack provides AI-assisted learning, courses, tutorials, or study support.
AI Expert Roadmap presents a set of charts showing paths and technologies for becoming a data scientist, machine learning or AI expert. An interactive version with links is available online, and the project is published under the MIT license.
AnimeCards is a site introducing Japanese learning methods and tools, with emphasis on using Japanese media for language immersion. It recommends Anki card formats, including Lapis-Modified. The site is being gradually updated and invites contributions via GitHub.
Scripts to generate a dataset with static frames from the Arcade Learning Environment. Instructions cover getting Torch, placing supported Atari ROMs (freeway, pong, riverraid, seaquest, space_invaders), building the environment and Lua wrapper, and producing frames.
Auto ViML automatically builds multiple machine learning models with a single line of code. It was created by Ram Seshadri, and collaborators are welcome with permission. The tool is available on GitHub.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Backprop is a Python library, installable via PyPi, that enables use, finetuning and deployment of machine learning models. It provides task interfaces for conversational question answering, text classification in over 100 languages, image classification, summarisation, emotion detection and text generation, and models can be finetuned with a single line of code.
BigML is a machine learning platform for classification, regression, time series forecasting, cluster analysis, anomaly detection, association discovery, topic modeling and principal component analysis. Models can be used for predictions through remote services or exported and embedded into applications. A three-day free trial gives access to all functionality.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Brain.js is a GitHub-hosted JavaScript library for building and running neural networks. It provides GPU-accelerated neural network functionality compatible with both web browsers and Node.js environments, allowing users to implement machine learning models using JavaScript across different runtime platforms.
Distributed decision tree ensemble learning in Scala.
Build Club is a collaborative AI learning community. It runs the Campus program, which provides resources to learn, build and ship AI projects. The community offers AI-native courses, role-specific certifications and tracks for groups including young professionals, AI evangelists, solopreneurs and agencies. It is supported by AI companies.
clj-ml is an open-source machine learning library for the Clojure programming language, built on top of the Weka framework and associated tools. It is hosted as a public repository on GitHub, with installation guides for Clojars and Maven, and supports a range of machine learning algorithms.
Cogitare is a modern, fast, modular deep learning and machine learning framework for Python built on top of PyTorch, with a user-friendly interface for beginners and advanced toolsets for experts.
Community Curated Data Science Resources provides AI-assisted learning, courses, tutorials, or study support.
Neural networks, regression and feature learning in Clojure.
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.
A blog post presenting a learning curriculum for becoming a data scientist, visualized as a metro map. The overall plan is organized progressively into areas or domains, each represented as a metro line with stations depicting topics.
Data Science Course By IBM provides AI-assisted learning, courses, tutorials, or study support.
Data Science For Beginners is a public curriculum repository hosted on GitHub by Microsoft. It provides a 10-week, 20-lesson data science learning program designed for all skill levels. The repository includes documentation for getting started and offers multi-language support for learners.