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ai_models

aitemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

android-test

An extensive framework for testing Android apps

archmeasurebench

autokernel

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

awesome-gpu

Awesome resources for GPUs

baichuan-7b

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

bit-rnn

Quantize weights and activations in Recurrent Neural Networks.

bladedisc

BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

bolt

Bolt is a deep learning framework with high performance and heterogeneous flexibility.

caffe

Caffe for Sparse and Low-rank Deep Neural Networks

caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

clblast

Tuned OpenCL BLAS

code-samples

Source code examples from the Parallel Forall Blog

comfyui

The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

computelibrary

The ARM Computer Vision and Machine Learning library is a set of functions optimised for both ARM CPUs and GPUs using SIMD technologies.

cpp_study

follow me to study modern c++

cross-compile-tools

cuassembler

An unofficial cuda assembler.

cuda-winograd

Fast CUDA Kernels for ResNet Inference.

cudnn-frontend

cudnn_frontend provides a c++ wrapper for the cudnn backend API and samples on how to use it

cutlass

CUDA Templates for Linear Algebra Subroutines

decoding-cuda-binary

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deepcore_source_code

Subpart source code of of deepcore v0.7

deeplearningexamples

Deep Learning Examples

deepperf

DeepPerf is a set of cuda assembling developing tools

distributed-tensorflow-guide

Distributed TensorFlow basics and examples of training algorithms

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。