zhewang1-intc

zhewang1-intc's Stars

• intel/intel-extension-for-pytorch

  A Python package for extending the official PyTorch that can easily obtain performance on Intel platform

  Language:Python1.8k266

• MoonInTheRiver/DiffSinger

  DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

  Language:Python4.5k731

• bitsandbytes-foundation/bitsandbytes

  Accessible large language models via k-bit quantization for PyTorch.

  Language:Python6.9k683

• jaywcjlove/reference

  为开发人员分享快速参考备忘清单(速查表)

  Language:Dockerfile13.4k2k

• ggml-org/llama.cpp

  LLM inference in C/C++

  Language:C++77.8k11.3k

• intel/intel-graphics-compiler

  Language:C++642168

• tonsky/FiraCode

  Free monospaced font with programming ligatures

  Language:Clojure78.7k3.1k

• intel/intel-extension-for-transformers

  ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

  Language:Python2.2k210

• mlcommons/inference_results_v2.1

  This repository contains the results and code for the MLPerf™ Inference v2.1 benchmark.

  1823

• kowainik/learn4haskell

  👩‍🏫 👨‍🏫 Learn Haskell basics in 4 pull requests

  Language:Haskell1k850

• kssteven418/I-BERT

  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization

  Language:Python24134

• intel/neural-compressor

  SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

  Language:Python2.4k264

• zenny-chen/Intel-AVX512-Brief-Introduction

  Intel AVX-512简介

  Language:C466

• herumi/xbyak

  A JIT assembler for x86/x64 architectures supporting MMX, SSE (1-4), AVX (1-2, 512), FPU, APX, and AVX10.2

  Language:C++2.1k280

• andreas-abel/nanoBench

  A tool for running small microbenchmarks on recent Intel and AMD x86 CPUs.

  Language:Python46157

• uxlfoundation/oneDNN

  oneAPI Deep Neural Network Library (oneDNN)

  Language:C++3.8k1k

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  Language:Markdown369k34.3k