ChrisGao001

100-gdb-tips

A collection of gdb tips. 100 maybe just mean many here.

abseil-cpp

Abseil Common Libraries (C++)

awesome-deep-learning-music

List of articles related to deep learning applied to music

awesome-programming-books

计算机领域经典书籍

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

byteps

A high performance and generic framework for distributed DNN training

CGDN-Ebooks

chrisgao001.github.io

my blog

concurrentqueue

A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

cpp-TimSort

A C++ implementation of timsort

CRoaring

Roaring bitmaps in C (and C++)

custom-op

Guide for building custom op for TensorFlow

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt

e-books

IT technical related e-books and PPT information, continuous updating. For those in need, Keep real, peace and love.

Go-lib

开源

gonote

欢迎各位gopher一起来完善这份笔记，让更多的人能够了解go，学习go，使用go，热爱go. :thumbsup:

keras-tensorflow-template

The template serves for automation in training and evaluation of Deep learning models for competitions.

ktprime

fast prime sieve and hash algorithm

lecture

machine_learning

ml_project

ml_research

model research

ods

Mission: To provide a high-quality open content data structures textbook that is both mathematically rigorous and provides complete implementations.

robin-map

C++ implementation of a fast hash map and hash set using robin hood hashing

simrank

SimRank algorithm implementation in Python

Targeted-Dropout

Complementary code for the Targeted Dropout paper

tbb

Official Threading Building Blocks (TBB) GitHub repository. For Commercial Intel® TBB distribution, please click here: https://software.intel.com/en-us/tbb

TensorFlow-Course

Simple and ready-to-use tutorials for TensorFlow

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.