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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.
3,195
repos tracked
105
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193
created < 30d
Python
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61 repos
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A high-throughput and memory-efficient inference and serving engine for LLMs
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
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DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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Implement a reasoning LLM in PyTorch from scratch, step by step
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You like pytorch? You like micrograd? You love tinygrad! ❤️
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This repository hosts code that supports the testing infrastructure for the PyTorch organization. For example, this repo hosts the logic to track disabled tests and slow tests, as well as our continuation integration jobs HUD/dashboard.
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Machine Learning Engineering Open Book
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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This module defines a type system for distributed training code, based off of JAX's sharding in types, but adapted for the PyTorch ecosystem.
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OPAL: a reactive optimizer. A coding agent rewrites the optimizer while your model trains.
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pytorch ci situation awareness swiss army knife
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An open source implementation of CLIP.
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A scikit-learn compatible neural network library that wraps PyTorch
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Executable RL environment for diagnosing and repairing distributed PyTorch training failures, with sandboxed execution and correctness-verified recovery rewards.
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A PyTorch native automated mega-kernel compiler
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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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Fast, flexible, elastically deterministic data loading for foundation model training
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The official CLI and Python client for the Hugging Face Hub.
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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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PyTorch building blocks for the OLMo ecosystem
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TPU inference for vLLM, with unified JAX and PyTorch support.
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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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You like pytorch? You like micrograd? You love tinygrad! ❤️
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Halo is an open-source framework built by White Circle for training large language and multimodal models
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Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
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Full-weight Qwen decision model with calibrated probabilities, training code, REST API, and playground.
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Attempt at agent driven development of WASM support for PyTorch
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Open Source AI Accelerator Research Platform Standard / 开源推理研究平台
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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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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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★ 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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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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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