5,184 skills found · Page 1 of 173
TheAlgorithms / PythonAll Algorithms implemented in Python
donnemartin / Interactive Coding Challenges120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
AtsushiSakai / PythonRoboticsPython sample codes and textbook for robotics algorithms.
keon / AlgorithmsMinimal examples of data structures and algorithms in Python
trekhleb / Homemade Machine Learning🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
dennybritz / Reinforcement LearningImplementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
quantopian / ZiplineZipline, a Pythonic Algorithmic Trading Library
QuantConnect / LeanLean Algorithmic Trading Engine by QuantConnect (Python, C#)
tangyudi / AI Learn人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
ctgk / PRMLPRML algorithms implemented in Python
aimacode / Aima PythonPython implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
DEAP / DeapDistributed Evolutionary Algorithms in Python
ricequant / RqalphaA extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
wisdompeak / LeetCodeThis repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.
lyst / LightfmA Python implementation of LightFM, a hybrid recommendation algorithm.
gbeced / PyalgotradePython Algorithmic Trading Library
py-why / EconMLALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
susanli2016 / Machine Learning With PythonPython code for common Machine Learning Algorithms
zotroneneis / Machine Learning BasicsPlain python implementations of basic machine learning algorithms
OmkarPathak / PygorithmA Python module for learning all major algorithms
