479 Open source projects that are alternatives of or similar to RL-2018

A PureScript, browser-based implementation of simple linear regression.

Implementations of normalizing flows using python and tensorflow

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

All the code for a series of Medium articles on Approximate Nearest Neighbors

Tensorflow implementation of the Restricted Boltzmann Machine

Emerging Technologies Project - 4th Year 2017

arxiv.org/abs/1803.07482

Autonomous Drifting using Reinforcement Learning

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This repository contains notes and projects of Data scientist track from dataquest course work.

ExCon: Explanation-driven Supervised Contrastive Learning

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

High frequency AI based algorithmic trading module.

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Subjective answer evaluation using machine learning. Give your answers at this link ->

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Deep Reinforcement Learning Algorithms Implementation in PyTorch

ugtm: a Python package for Generative Topographic Mapping

https://machinelearning.wtf/ - An online glossary of machine learning terms.

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…

Spark-Transformers: Library for exporting Apache Spark MLLIB models to use them in any Java application with no other dependencies.

Model training, custom generative function and training for raplyrics.eu - A rap music lyrics generation project

Using Kalman Filter to Predict Corona Virus Spread

This repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).

Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

🤖 An authorial collection of fundamental python recipes on Machine Learning and Artificial Intelligence.

A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.

Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).

Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Public home of pycorels, the python binding to CORELS

An RL implementation in Keras

A notebook for machine learning interview

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

Reinforcement Learning Demos

Taller SparkR para las Jornadas de Usuarios de R

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

A library that implements fairness-aware machine learning algorithms

An open source library for the GPU-implementation of L-BFGS-B algorithm

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

Run OpenAI Gym on a Server

A Data science challenge - "Mekktronix Sales Forecasting" organised by ZS through Hackerearth platform. Rank: 223 out of 4743.

Learn the theory, math and code behind different machine learning algorithms and techniques.

Examples how MLJAR can be used

Jiminy: a fast and portable Python/C++ simulator of poly-articulated systems with OpenAI Gym interface for reinforcement learning

Pytorch Implementation of RL algorithms

OpenAI Gym wrapper for ViZDoom enviroments

bitcoin prediction algorithms

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Collection of OpenAI parametrized action-space environments.

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

A TensorFlow-based framework for learning about and experimenting with reinforcement learning algorithms

machine learning practitioner， android and python

Continuously Learning Artificial Intelligence Rules Engine (Claire) for Smart Homes

My GitHub blog: things you might be interested, and probably not...

Convert DeepMind Control Suite to OpenAI gym environments.