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Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
Simple examples to introduce PyTorch
Public facing notes page
A list of deep neural network architectures for reinforcement learning tasks.
DL course co-developed by YSDA, HSE and Skoltech
JAX - A curated list of resources https://github.com/google/jax
Awesome free machine learning and AI courses with video lectures.
Monitoring recent cross-research on LLM & RL on arXiv for control. If there are good papers, PRs are welcome.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
A course in reinforcement learning in the wild
The ultimate list of which programs support Vim-like keybindings natively, or how they can be added with extensions. A collaborative project.
[NeurIPS 2024] Simple and Effective Masked Diffusion Language Model
Code used to create text embeddings of all Magic: The Gathering cards.
An ebook reader application supporting PDF, DjVu, EPUB, FB2 and many more formats, running on Cervantes, Kindle, Kobo, PocketBook and Android devices
Map your keys for web surfing, expand your browser with javascript and keyboard.
A keyboard shortcut browser extension for keyboard-based navigation and tab operations with an advanced omnibar
Vim-fork focused on extensibility and usability
Free, ultrafast Copilot alternative for Vim and Neovim
ChatDBG - AI-assisted debugging. Uses AI to answer 'why'
A reactive Python kernel for Jupyter notebooks.
Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension
🔍 gowitness - a golang, web screenshot utility using Chrome Headless
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
An extremely fast Python package and project manager, written in Rust.
A cross-platform music app using YouTube Music for backend
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.