dongzhixiang

data-science-ipython-notebooks

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

librosa

Python library for audio and music analysis

Apriori

Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules

deap

Distributed Evolutionary Algorithms in Python

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

deep_q_rl

Theano-based implementation of Deep Q-learning

DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

DeepLearningTutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

easyquant

股票量化框架，支持行情获取以及交易

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

hoag

Hyperparameter optimization with approximate gradient

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

jieba

结巴中文分词

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

Lasagne

Lightweight library to build and train neural networks in Theano

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

MarkovNetwork

Python implementation of Markov Networks for neural computing.

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

pattern

Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.

pgmpy

Python Library for Probabilistic Graphical Models

Pyevolve

Pyevolve

quandl-python

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-car

Using reinforcement learning to teach a car to avoid obstacles.

scoop

SCOOP (Scalable COncurrent Operations in Python)

Spearmint

Spearmint Bayesian optimization codebase

stock-logistics-workflow

Odoo Stock, Workflow and Organization

Theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.