Machine Learning Basics
zotroneneis
Plain python implementations of basic machine learning algorithms
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4.4KGitHub
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2.6KGitHub
DRL Pytorch
XinJingHao
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SA…
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3.4KGitHub
MinimalRL
seungeunrho
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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3.2KGitHub
EasyML
ICT-BDA
Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
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2KGitHub
Benchm Ml
szilard
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of…
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1.9KGitHub
EdgeML
microsoft
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
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1.7KGitHub
HistomicsTK
DigitalSlideArchive
A Python toolkit for pathology image analysis algorithms.
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473GitHub
PyShortTextCategorization
stephenhky
Various Algorithms for Short Text Mining
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471GitHub
Chefboost
serengil
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random For…
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488GitHub
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