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996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

baiduyun_deeplearning_competition

百度云魅族深度学习应用大赛

bce-sdk-java

BCE SDK for Java

beednn

A fast DNN library in C++, and a version in Python for prototyping

builtincmd

VS extension that provide a built-in terminal window for CMD or Powershell.

cmake-examples

Useful CMake Examples

cmdline

A Command Line Parser

cnpy

library to read/write .npy and .npz files in C/C++

conque-gdb

GDB command line interface and terminal emulator in (G)Vim.

coursera-deep-learning-specialization

quizzes

cpp-text-table

C++ text table: format text in tabular form

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

draw

easyloggingpp

Single header C++ logging library. It is extremely powerful, extendable, light-weight, fast performing, thread and type safe and consists of many built-in features. It provides ability to write logs in your own customized format. It also provide support for logging your classes, third-party libraries, STL and third-party containers etc.

ffht

Fast Fast Hadamard Transform

gfw-pac

科学上网。通过 gfwlist 和** IP 地址生成 PAC(Proxy auto-config) 文件。对存在于 gfwlist 的域名和解析出的 IP 在国外的域名使用代理。

goreturns

BOS golang format

hangzhouyunqi2017ppt

haoel.github.io

hk_ipo

index-cpp

C++ implementations of indexing mechanisms, including a Hilbert-curve geohash based spatial index and a linear hashing table, for disk or RAM.

inference

Reference implementations of inference benchmarks

lihang-code

《统计学习方法》的代码实现

machine-learning

Deep Learning and other Machine Learning techniques for Smalltalk.

ml

ml_learning

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

nginx

An official read-only mirror of http://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to nginx is via the nginx development mailing list, see http://nginx.org/en/docs/contributing_changes.html

nnpack

Acceleration package for neural networks on multi-core CPUs

onnx

Open standard for machine learning interoperability