openxla / xlaLinks
A machine learning compiler for GPUs, CPUs, and ML accelerators
☆3,426Updated this week
Alternatives and similar repositories for xla
Users that are interested in xla are comparing it to the libraries listed below
Sorting:
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,612Updated last week
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆3,301Updated this week
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,670Updated last week
- Tile primitives for speedy kernels☆2,579Updated 2 weeks ago
- CUDA Templates for Linear Algebra Subroutines☆8,249Updated last week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,645Updated this week
- CUDA Core Compute Libraries☆1,865Updated this week
- Backward compatible ML compute opset inspired by HLO/MHLO☆522Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,057Updated last year
- Flax is a neural network library for JAX that is designed for flexibility.☆6,747Updated this week
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,472Updated last week
- High-efficiency floating-point neural network inference operators for mobile, server, and Web☆2,086Updated this week
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,426Updated this week
- Transformer related optimization, including BERT, GPT☆6,274Updated last year
- Development repository for the Triton language and compiler☆16,568Updated this week
- Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure☆899Updated last week
- PyTorch native quantization and sparsity for training and inference☆2,251Updated this week
- An Extensible Deep Learning Library☆2,227Updated last week
- 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…☆1,581Updated last year
- FlashInfer: Kernel Library for LLM Serving☆3,571Updated this week
- Training and serving large-scale neural networks with auto parallelization.☆3,148Updated last year
- CUDA Python: Performance meets Productivity☆2,922Updated this week
- common in-memory tensor structure☆1,046Updated 2 months ago
- CUDA Library Samples☆2,065Updated last week
- Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA☆1,674Updated last week
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆3,023Updated this week
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,819Updated 2 weeks ago
- An open-source efficient deep learning framework/compiler, written in python.☆715Updated 3 weeks ago
- Reference implementations of MLPerf™ inference benchmarks☆1,441Updated last week
- Puzzles for learning Triton☆1,925Updated 9 months ago