Pinned Repositories
adaboost-stock-selection
Apriori
Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules
apriori-python
Association Rules Mining
auto-sklearn
bayesian-belief-networks
Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
ChineseTextClassify
中文文本分类，使用搜狗文本分类语料库
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
zipline
Zipline, a Pythonic Algorithmic Trading Library
dongzhixiang's Repositories
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.
dongzhixiang/librosa
Python library for audio and music analysis
dongzhixiang/Apriori
Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules
dongzhixiang/deap
Distributed Evolutionary Algorithms in Python
dongzhixiang/deep-reinforcement-learning-papers
A list of recent papers regarding deep reinforcement learning
dongzhixiang/deep_q_rl
Theano-based implementation of Deep Q-learning
dongzhixiang/DeepLearningFlappyBird
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
dongzhixiang/DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
dongzhixiang/easyquant
股票量化框架，支持行情获取以及交易
dongzhixiang/gym
A toolkit for developing and comparing reinforcement learning algorithms.
dongzhixiang/hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
dongzhixiang/hoag
Hyperparameter optimization with approximate gradient
dongzhixiang/imbalanced-learn
Python module to perform under sampling and over sampling with various techniques.
dongzhixiang/jieba
结巴中文分词
dongzhixiang/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.
dongzhixiang/Lasagne
Lightweight library to build and train neural networks in Theano
dongzhixiang/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
dongzhixiang/MarkovNetwork
Python implementation of Markov Networks for neural computing.
dongzhixiang/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
dongzhixiang/neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
dongzhixiang/pattern
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
dongzhixiang/pgmpy
Python Library for Probabilistic Graphical Models
dongzhixiang/Pyevolve
Pyevolve
dongzhixiang/quandl-python
dongzhixiang/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
dongzhixiang/reinforcement-learning-car
Using reinforcement learning to teach a car to avoid obstacles.
dongzhixiang/scoop
SCOOP (Scalable COncurrent Operations in Python)
dongzhixiang/Spearmint
Spearmint Bayesian optimization codebase
dongzhixiang/stock-logistics-workflow
Odoo Stock, Workflow and Organization
dongzhixiang/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.