openxla / xla
A machine learning compiler for GPUs, CPUs, and ML accelerators
☆2,847Updated this week
Alternatives and similar repositories for xla:
Users that are interested in xla are comparing it to the libraries listed below
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆2,929Updated this week
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,401Updated this week
- Development repository for the Triton language and compiler☆14,042Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,016Updated 9 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…☆2,086Updated this week
- Backward compatible ML compute opset inspired by HLO/MHLO☆428Updated this week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,585Updated last month
- Tile primitives for speedy kernels☆1,923Updated this week
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆1,924Updated this week
- Transformer related optimization, including BERT, GPT☆5,981Updated 9 months ago
- Simple, safe way to store and distribute tensors☆3,010Updated last week
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,298Updated this week
- Training and serving large-scale neural networks with auto parallelization.☆3,093Updated last year
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…☆1,549Updated 11 months ago
- CUDA Templates for Linear Algebra Subroutines☆5,999Updated last week
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆2,667Updated this week
- PyTorch extensions for high performance and large scale training.☆3,232Updated this week
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,240Updated this week
- Open deep learning compiler stack for cpu, gpu and specialized accelerators☆11,930Updated last month
- FlashInfer: Kernel Library for LLM Serving☆1,797Updated this week
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆797Updated this week
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,749Updated this week
- An open-source efficient deep learning framework/compiler, written in python.☆668Updated this week
- Flax is a neural network library for JAX that is designed for flexibility.☆6,272Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆6,522Updated this week
- Enabling PyTorch on XLA Devices (e.g. Google TPU)☆2,511Updated this week
- oneAPI Deep Neural Network Library (oneDNN)☆3,677Updated this week
- PyTorch native quantization and sparsity for training and inference☆1,753Updated this week
- common in-memory tensor structure☆930Updated 3 months ago
- Foundation Architecture for (M)LLMs☆3,038Updated 9 months ago