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GitHub repos gaining traction - what high-signal users are starring and what's climbing the board, captured daily and enriched from GitHub. Raw material for spotting new tech and patterns worth building on.
2,235
repos tracked
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194
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Python
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43 repos
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A high-throughput and memory-efficient inference and serving engine for LLMs
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You like pytorch? You like micrograd? You love tinygrad! ❤️
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The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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Implement a reasoning LLM in PyTorch from scratch, step by step
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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Open Source Continuous Inference Benchmark Research Platform — Kimi K3 2.8T, MiniMax M3, DeepSeekv4, GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72 & soon™ TPUv6e/v7/Trainium2/3 | 开源持续推理基准研究平台 — Kimi K2.7-Code、MiniMax M3、DeepSeekv4、GLM5 - GB200 NVL72 vs MI355X vs B200 vs GB300 NVL72，即将推出™ TPUv6e/v7/Trainium2/3
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Visualizer for neural network, deep learning and machine learning models
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A multi-framework neural network compiler lowering PyTorch, JAX, Flax, and Keras models to portable, high-performance GGML execution
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FlashInfer: Kernel Library for LLM Serving
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OpenMMLab Detection Toolbox and Benchmark
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Train speculative decoding models effortlessly and port them smoothly to SGLang serving.
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The fastai deep learning library
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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
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🤗 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.
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End-to-end project training and building AI models / LLMs to detect AI-written text
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Perform data science on data that remains in someone else's server
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A retargetable MLIR-based machine learning compiler and runtime toolkit.
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
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★ 5 pytorch/annexCurated distribution of PyTorch-compatible Python sub-libraries (the PyTorch annex)
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Apple Silicon (Metal) backend for Triton: write standard @triton.jit kernels on your Mac GPU. The same source runs bit-identical on NVIDIA and AMD, so you develop kernel logic locally and rent a datacenter GPU only for the perf pass.
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The official CLI and Python client for the Hugging Face Hub.
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Machine Learning Engineering Open Book
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LMCache: Supercharge Your LLM with the Fastest KV Cache Layer
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A PyTorch native platform for training generative AI models
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SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
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PyTorch native quantization for training and inference
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An open source implementation of CLIP.
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A Python DSL to write Nvidia PTX for Hopper and Blackwell in JAX and PyTorch
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Silero Models: pre-trained text-to-speech models made embarrassingly simple
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The Art of Debugging Open Book
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A PyTorch native library for training speculative decoding models
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Build configuration for PyTorch3D
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Build configuration for PyTorch Scatter
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[CVPR 2026 Highlight] A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens
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Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation preconditioner and more)
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Code release for "i1: A Simple and Fully Open Recipe for Strong Text-to-Image Models"
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Solve puzzles. Improve your pytorch.
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We write your reusable computer vision tools. 💜
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Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.
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Desktop version of Pytorch memory viz, handling profiles of 10GB and more, with quality-of-life improvements
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torch_remat fine-grained activation checkpointing API
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🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.