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The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…
Simplifying reinforcement learning for complex game environments
LostRuins / koboldcpp
Forked from ggml-org/llama.cppRun GGUF models easily with a KoboldAI UI. One File. Zero Install.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Accelerated General (FP32) Matrix Multiplication from scratch in CUDA
🏆 Add dynamically generated GitHub Stat Trophies on your readme
Implementing the 4 agentic patterns from scratch
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
Caesium is an image compression software that helps you store, send and share digital pictures, supporting JPG, PNG, WebP and TIFF formats. You can quickly reduce the file size (and resolution, if …
magnusahlden / aider_ollama
Forked from Aider-AI/aideraider is AI pair programming in your terminal
A fully custom QML library built on the Material design scheme
Master programming by recreating your favorite technologies from scratch.
L3: Lightweight Logging Library. A very small 'C' library to generate low-footprint, non-intrusive, high-performance logging of trace messages in an mmap()'ed file. Tools are provided to unpack the…
QualityScaler - image/video AI upscaler app
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
real time face swap and one-click video deepfake with only a single image
Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
Provision remote development environments via Terraform
GitHub's code repository is all you need
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Collection of notebooks about quantitative finance, with interactive python code.
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 2, and other large language models.