shipengfei92

AdversarialNetsPapers

The classical papers and codes about generative adversarial nets

angular-editor

A simple native WYSIWYG editor for Angular 6+, 7+, 8+

angular-rmawu2

Created with StackBlitz ⚡️

binlog

A high performance C++ log library, producing structured binary logs

BlogBackup

博客备份

capstone

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

convnet-benchmarks

Easy benchmarking of all publicly accessible implementations of convnets

create-your-own-adventure

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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18个章节，50余万字。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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

DMTK

Microsoft Distributed Machine Learning Toolkit

ExchangeSimulator

Hands-On-Machine-Learning-for-Algorithmic-Trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

hujiang_geek

iGAN

Interactive Image Generation via Generative Adversarial Networks

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

machine-learning

Content for Udacity's Machine Learning curriculum

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

neural-style-tf

TensorFlow (Python API) implementation of Neural Style

Neural-Style-Transfer-Papers

:pencil2: Neural Style Transfer: A Review

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

scribble

:tomato: A Jekyll theme.

shipengfei92.github.io

spark

Mirror of Apache Spark

try_tensorflow_with_jupyter

vnpy

基于Python的开源量化交易平台开发框架

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

xgboost-c-cplusplus

c/c++ code for xgboost(train,predict,evaluate)

XGBoost-FastForest

Minimal library code to deploy XGBoost models in C++.