geekium's Stars
keras-team/keras
Deep Learning for humans
rasbt/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
dc-js/dc.js
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
quantopian/pyfolio
Portfolio and risk analytics in Python
yhat/rodeo
A data science IDE for Python
Lasagne/Lasagne
Lightweight library to build and train neural networks in Theano
quantopian/research_public
Quantitative research and educational materials
rmcelreath/rethinking
Statistical Rethinking course and book package
QuantFans/quantdigger
基于python的量化交易平台
Rachnog/Deep-Trading
Algorithmic trading with deep learning experiments
d3fc/d3fc
A collection of components that make it easy to build interactive charts with D3
dmlc/minpy
NumPy interface with mixed backend execution
rsteca/sklearn-deap
Use evolutionary algorithms instead of gridsearch in scikit-learn
unpingco/Python-for-Probability-Statistics-and-Machine-Learning
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
NickQiZhu/d3-cookbook
Source code for "Data Visualization with D3 Cookbook"
syntagmatic/parallel-coordinates
A d3-based parallel coordinates plot in canvas. This library is no longer actively developed.
ploomber/sklearn-evaluation
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
jxieeducation/DIY-Data-Science
Machine Learning Tool Guides and Theory Notes
rewonc/pastalog
Simple, realtime visualization of neural network training performance.
wzchen/stock_market_prediction
Team Buffalox8 predicts directional movement of stock prices.
hannes-brt/cudnn-python-wrappers
Python wrappers for the NVIDIA cuDNN libraries
glouppe/tutorials-scikit-learn
Scikit-Learn tutorials
rlabbe/statistical-rethinking
Notebooks containing R code from Richard McElreath's Statistical Rethinking
amueller/pydata-nyc-advanced-sklearn
Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
bugra/pydata-nyc-2014
Pydata NYC 2014 Scikit Learn Tutorial
apnorton/tsp-art
A Python program to convert images into their "TSP solution" representations.
OriginDataLab/cndatalab
Replication files for social science research prepared by OriginDataLab
glouppe/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
tradebase/ga-bitbot-revived
Automatically exported from code.google.com/p/ga-bitbot-revived