sun2011yao Goto Github PK

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.

alpa

Training and serving large-scale neural networks

awesome-cmake

A curated list of awesome CMake resources, scripts, modules, examples and others.

awesome-deep-learning-papers

The most cited deep learning papers

awesome-embedded-ai

【WeChat: NeuroMem】. Weekly report and awesome list of embedded-ai.

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

awesome-spider

爬虫集合

awesome-tensor-compilers

A list of awesome compiler projects and papers for tensor computation and deep learning.

books_sourcecode

<<Effective Modern C++>> Chinese version and source code

c-plus-plus

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

caffe

Caffe: a fast open framework for deep learning.

caffe-model-zoo

caffe pretrained models and prototxt

cjson

Ultralightweight JSON parser in ANSI C

cmake-examples

Useful CMake Examples

coding

practice coding a little bit

coding-interview-university

A complete computer science study plan to become a software engineer.

compute

A C++ GPU Computing Library for OpenCL

computelibrary

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

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

cpp-primer

C++ Primer 5 answers

cpp_concurrency_in_action

:book: 作为对《C++ Concurrency in Action》英文版的中文翻译。

cpp_redis

C++11 Lightweight Redis client: async, thread-safe, no dependency, pipelining, multi-platform.

cpp_test

my first project

cppmetrics

C++ port of the codahale/dropwizard metrics library

cryptopp

free C++ class library of cryptographic schemes

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

deeplearningsystem

Deep Learning System core principles introduction.

design-patterns