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0603movie

100days

100 days of algorithms

60_days_rl_challenge

Learn Deep Reinforcement Learning in Depth in 60 days

a3c

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

adaboost-implementation

Implementation of AdaBoost algorithm in Python

airport-simulation.py

Python program that simulates the queuing systems at a small airport from customer arrival to departure

airquality

Air Quality Dataset from UCI machine learning rep.

aleph_star

Reinforcement learning with A* and a deep heuristic

algorithms

:computer: Data Structures and Algorithms in Python

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

automated-manual-comparison

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning-and-machine-learning-questions

【不定期更新中】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

awesome-deep-learning-music

List of articles related to deep learning applied to music

awesome-deep-learning-papers

The most cited deep learning papers

blackjack_chapter5

Sutton and Barto, Reinforcement Learning, Monto Carlo

blog

for code created as part of http://studywolf.wordpress.com

cal_demo

car_rental_sutton

cart

Classification and Regression Trees (CART) in python from scratch.

churn-prediction

Fourth: Churn Prediction

citybikenyc

Visualizing NYC Citi Bike data.

ciw

Ciw is a simulation library for open queueing networks.

click-throughrateprediction

This notebook covers the steps for creating a click-through rate (CTR) prediction pipeline, working with the Criteo Labs dataset that was used for a Kaggle competition.

codes-for-wsdm-cup-music-rec-1st-place-solution

comp-programming-leetcode-plan-3

📚 Short pieces of algorithmic code

convex_optimization

This is a homework of convex_optimization which implements almost all solutions of LASSO and some solutions of LP, such as cvxpy, gurobi, mosek, gradient descent, proximal primal problem, smoothed primal problem, FISTA, Nesterov second, ADMM and so on. Currently I completed the Chinese 'README', but in the near future, I will try to write an English version.

cornell-moe

A Python library for the state-of-art parallel Bayesian optimization algorithms, with the core implemented in C++.

creditcard_fraud

Detecting credit card fraud detection. Selecting an optimum threshold with analysis of confusion matrix and ROC curce