963 Open source projects that are alternatives of or similar to Gail Tf

Reinforcement learning models in ViZDoom environment

Our NIPS 2017: Learning to Run source code

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Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

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Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

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Semantic Image Inpainting

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MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

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Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

Implementing trajectory optimization on bipedal system

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Maze Applied Reinforcement Learning Framework

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Gridworld environments for OpenAI gym.

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Basic reinforcement learning implementation with tensorflow version 2.0

Flappy Bird AI using Evolution Strategies

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

Projecting images to latent space with StyleGAN2.

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Official repository of JSI-GAN (Accepted at AAAI 2020).

Implementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Reinforcement learning tutorials

The codes of VAE-GAN model for 3d shape reconstruction from depth data

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

Behavior Optimization and Learning for Robots

Text to image synthesis using thought vectors

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Use AWS RoboMaker and demonstrate running a simulation which trains a reinforcement learning (RL) model to drive a car around a track

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

The implementation of Relativistic average GAN with Keras

🙄 Difficult algorithm, Simple code.

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

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Reinforcement learning for energy systems

Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Implementing reinforcement-learning algorithms for pysc2 -environment

TensorFlow Tutorials with YouTube Videos

Teach a Quadcopter How to Fly!

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Testbed for deep reinforcement learning

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