6,583 skills found · Page 3 of 220
ICT-BDA / EasyMLEasy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
szilard / Benchm MlA minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
thunil / Physics Based Deep LearningLinks to works on deep learning algorithms for physics problems, TUM-I15 and beyond
cbailes / Awesome Deep TradingList of awesome resources for machine learning-based algorithmic trading
ssusnic / Machine Learning Flappy BirdMachine Learning for Flappy Bird using Neural Network and Genetic Algorithm
PacktPublishing / Hands On Machine Learning For Algorithmic TradingHands-On Machine Learning for Algorithmic Trading, published by Packt
HumanCompatibleAI / ImitationClean PyTorch implementations of imitation and reward learning algorithms
microsoft / EdgeMLThis repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
patrickloeber / MLfromscratchMachine Learning algorithm implementations from scratch.
D-X-Y / AutoDL ProjectsAutomated deep learning algorithms implemented in PyTorch.
PacktPublishing / Machine Learning For Algorithmic Trading Second Edition OriginalMachine Learning for Algorithmic Trading, Second Edition - published by Packt
luwill / Machine Learning Code ImplementationMathematical derivation and pure Python code implementation of machine learning algorithms.
Rachnog / Deep TradingAlgorithmic trading with deep learning experiments
remicnrd / Ml CheatsheetA 5-pages only Machine Learning cheatsheet focusing on the most popular algorithms under the hood
scikit-learn-contrib / Metric LearnMetric learning algorithms in Python
rail-berkeley / SoftlearningSoftlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
JasperSnoek / SpearmintSpearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012
LiYangHart / Hyperparameter Optimization Of Machine Learning AlgorithmsImplementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
liuyubobobo / Play With Machine Learning AlgorithmsCode of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
thepranaygupta / Data Structures And AlgorithmsA repository that contains all the Data Structures and Algorithms concepts and their implementation in several ways, programming questions and Interview questions. The main aim of this repository is to help students who are learning Data Structures and Algorithms or preparing for an interview.
