Stars
A JIT assembler for x86/x64 architectures supporting FPU, MMX, SSE (1-4), AVX (1-2, 512), APX, and AVX10.2
📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
MNBVC(Massive Never-ending BT Vast Chinese corpus)超大规模中文语料集。对标chatGPT训练的40T数据。MNBVC数据集不但包括主流文化，也包括各个小众文化甚至火星文的数据。MNBVC数据集包括新闻、作文、小说、书籍、杂志、论文、台词、帖子、wiki、古诗、歌词、商品介绍、笑话、糗事、聊天记录等一切形式的纯文本中文数据。
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
Probabilistic language based on pattern matching and constraint propagation, 153 examples
Control your Nintendo Switch through a website, terminal, or macro.
High-Performance Rendering Framework on Stream Architectures
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Training and serving large-scale neural networks with auto parallelization.
Visualizer for neural network, deep learning and machine learning models
A retargetable MLIR-based machine learning compiler and runtime toolkit.
C++ Insights - See your source code with the eyes of a compiler
Bridging polyhedral analysis tools to the MLIR framework
A sandbox for quick iteration and experimentation on projects related to IREE, MLIR, and LLVM
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Count the MACs / FLOPs of your PyTorch model.
Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
MLIRX is now defunct. Please see PolyBlocks - https://docs.polymagelabs.com
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
MatMul Performance Benchmarks for a Single CPU Core comparing both hand engineered and codegen kernels.