softengers

pytest

The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Machine-Learning-in-Java

Machine-Learning-in-Java_code

tutorials

机器学习相关教程

JSAT

Java Statistical Analysis Tool, a Java library for Machine Learning

Python-Machine-Learning

This repository basically covers Python implementation of different machine learning algorithms like Linear Regression, Logistic regression, Decision tree, PCA,SVM, kNN. It also has implementation of NLP and Recommender System.

keras-retinanet

Keras implementation of RetinaNet object detection.

coveragepy

Code coverage measurement for Python

matplotlib-tutorial

Matplotlib tutorial for beginner

machinelearning-1

My blogs and code for machine learning. http://cnblogs.com/pinard

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

scikit-learn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档

numpy-100

100 numpy exercises (100% complete)

MachineLearning

Machine learning algorithms implemented by pure numpy

caffe

Caffe: a fast open framework for deep learning.

pytorch-tutorial-1

PyTorch Tutorial for Deep Learning Researchers

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

Tensorflow-Tutorial

Tensorflow tutorial from basic to hard

GAIN

Generative Adversarial Imputation Networks (GAIN)

numpy_exercises

Numpy exercises.

jieba

结巴中文分词

ATEN

fnlp

中文自然语言处理工具包 Toolkit for Chinese natural language processing

aerosolve

A machine learning package built for humans.

PyTorch-Tutorial

Build your neural network easy and fast

Deep-SVDD

Repository for the Deep One-Class Classification ICML 2018 paper

caffe2

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

pytorch-examples

Simple examples to introduce PyTorch

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

DeepLearnToolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

GBDT

A simple GBDT in Python