925 Open source projects that are alternatives of or similar to Tensorflow Value Iteration Networks

Deep Reinforcement Learning for Keras.

Monthly Series - Top 10 Machine Learning Articles

Machine Learning notebooks for refreshing concepts.

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

Scalable Implementation of Deep CFR and Single Deep CFR

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

Machine learning and data science blog.

Unity Machine Learning Agents Toolkit

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.

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

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

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

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

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

How to use TensorLayer

TensorFlow and Deep Learning Tutorials

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

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

RLgraph: Modular computation graphs for deep reinforcement learning

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

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

Machine learning, in numpy

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

🧑‍🏫 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, ... 🧠

Train an RL agent to localize actively (PyTorch)

Grokking Deep Reinforcement Learning

Repo for the Deep Reinforcement Learning Nanodegree program

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

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

A course in reinforcement learning in the wild

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

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

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

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.

Run Keras models in the browser, with GPU support using WebGL

Implementations of selected inverse reinforcement learning algorithms.

A C++ framework for MDPs and POMDPs with Python bindings

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

A JavaScript deep learning and reinforcement learning library.

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

A neural network for end-to-end speech denoising

Obstacle Tower Environment

DN2A - Digital Neural Networks Architecture

A Configurable Recommender Systems Simulation Platform

darknet neural network addon for openFrameworks

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Neural network inference the Unix way

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Arnold - DOOM Agent

AutoKernel 是一个简单易用，低门槛的自动算子优化工具，提高深度学习算法部署效率。

Quiz & Assignment of Coursera

S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Open Machine Learning course at MIPT

Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are implemented by complex model.