47,133 repositories indexed
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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Making large AI models cheaper, faster and more accessible
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
You like pytorch? You like micrograd? You love tinygrad! ❤️
The Modular Platform (includes MAX & Mojo)
Clone any viral video with AI agents. Not just a script, the whole workflow: swap the face, the words, the B-roll, ship 100 variants in one command, and get your 100M views.
GUI for a Vocal Remover that uses Deep Neural Networks.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
StellarGraph - Machine Learning on Graphs
Topic in, narrated explainer video out. A Claude Code / Codex skill that turns any topic into a black-canvas motion-graphics explainer video with TTS voiceover, subtitles and a chapter progress bar. Chinese or English; every frame drawn in code with Remotion.
Genetic Programming in Python, with a scikit-learn inspired API
Thin, unified, C++-flavored wrappers for the CUDA APIs
🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥
in progress
DiffSharp: Differentiable Functional Programming
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Program for rapidly developing computer vision applications
No-Frills Functional Programming Lib Augmenting Javascript/Node.js
[arXiv 2026] Unified Audio-Video Creation via Progressive Training and Asymmetric Scheduling
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
On-device Vision Model - a fully offline, free vision pipeline that gives text-only models (e.g. DeepSeek) image understanding and multilingual OCR through an OpenAI-compatible local API. Only tokens are needed: no API key, no subscription, no cloud cost. Recommended for native speakers of Chinese, English, Japanese and Korean.