cowyyy

cowyyy's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++185k74.2k

• ONNC/onnc-tutorial

  Language:C++5826

• ONNC/onnc

  Open Neural Network Compiler

  Language:C++51493

• graphcore/popart

  Poplar Advanced Runtime for the IPU

  Language:C++54

• OpenGPGPU/opengpgpu

  Language:Scala655

• HuiiJi/ez_ISP

  This is a easy ISP (ez_ISP) for RAW to RGB conversion.

  Language:Python8810

• graphcore/llvm-project-fork

  Fork of LLVM Project containing a Colossus IPU backend implementation

  114

• MegEngine/MegCC

  MegCC是一个运行时超轻量，高效，移植简单的深度学习模型编译器

  Language:C++46755

• gpgpu-sim/gpgpu-sim_distribution

  GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.

  Language:C++1.1k500

• rui314/chibicc

  A small C compiler

  Language:C9.6k869

• rui314/8cc

  A Small C Compiler

  Language:C6.1k740

• Liu-xiandong/How_to_optimize_in_GPU

  This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.

  Language:Cuda804126

• chncwang/InsNet

  InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

  Language:C++6612

• YellowOldOdd/SDBI

  Simple Dynamic Batching Inference

  Language:Python14517

• BBuf/tvm_mlir_learn

  compiler learning resources collect.

  Language:Python2k320

• amhndu/SimpleNES

  An NES emulator in C++

  Language:C++4.8k1.1k

• NVlabs/tiny-cuda-nn

  Lightning fast C++/CUDA neural network framework

  Language:C++3.7k449

• herumi/xbyak

  a JIT assembler for x86(IA-32)/x64(AMD64, x86-64) MMX/SSE/SSE2/SSE3/SSSE3/SSE4/FPU/AVX/AVX2/AVX-512 by C++ header

  Language:C++2k275

• 666DZY666/micronet

  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

  Language:Python2.2k478

• Zhengtq/ncnn_breakdown

  A breakdown of NCNN

  Language:C++4514

• xylcbd/EasyCNN

  easy convolution neural network

  Language:C++16753

• ArtyZe/yolo_quantization

  Based of paper "Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference"

  Language:C6113

• xboot/libonnx

  A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

  Language:C575105

• senlinuc/caffe_ocr

  主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

  Language:C++1.3k535

• NVIDIA/FasterTransformer

  Transformer related optimization, including BERT, GPT

  Language:C++5.8k882

• wanghaisheng/awesome-ocr

  A curated list of promising OCR resources

  1.7k351

• baidu-research/warp-ctc

  Fast parallel CTC.

  Language:Cuda4.1k1k

• tmbdev/clstm

  A small C++ implementation of LSTM networks, focused on OCR.

  Language:Jupyter Notebook819223

• MartinChan3/ClipperDocCN

  The documention of ClipperLib in Chinese

  7826

• JDAI-CV/dabnn

  dabnn is an accelerated binary neural networks inference framework for mobile platform

  Language:C++768100