1013 Open source projects that are alternatives of or similar to Keras Rl

A course in reinforcement learning in the wild

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

TensorFlow and Deep Learning Tutorials

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).

Scalable Implementation of Deep CFR and Single Deep CFR

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

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

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Monthly Series - Top 10 Machine Learning Articles

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

Train an RL agent to localize actively (PyTorch)

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Neural network visualization toolkit for keras

This toolbox is support material for the book on CNN (http://www.convolution.network).

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

RLgraph: Modular computation graphs for deep reinforcement learning

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Machine learning and data science blog.

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

Unity Machine Learning Agents Toolkit

Deep Reinforcement Learning library for humans

Grokking Deep Reinforcement Learning

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Lightweight library to build and train neural networks in Theano

Deep learning driven jazz generation using Keras & Theano!

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Machine learning, in numpy

Machine Learning notebooks for refreshing concepts.

Keras community contributions

How to use TensorLayer

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Repo for the Deep Reinforcement Learning Nanodegree program

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

Deep Learning Specialization by Andrew Ng on Coursera.

High Fidelity Simulator for Reinforcement Learning and Robotics Research.

A3C LSTM Atari with Pytorch plus A3G design

References on Optimal Control, Reinforcement Learning and Motion Planning

A curated list of awesome links and software libraries that are useful for robots.

Implementations of Reinforcement Learning Models in Tensorflow

A collection of Bayesian data analysis recipes using PyMC3

Hearthstone simulator using C++ with some reinforcement learning

A deep neural network for face alignment

Build Graph Nets in Tensorflow

Keras package for region-based convolutional neural networks (RCNNs)

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Computations and statistics on manifolds with geometric structures.

Image augmentation library in Python for machine learning.

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Enhance your application with the ability to see and interact with humans using any RGB camera.

Message Passing Neural Networks for Molecule Property Prediction

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.