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Convolutuional varational auto encoders
🍃 JavaScript library for mobile-friendly interactive maps 🇺🇦
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control
Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym environments.
Implementation of 'A Distributional Perspective on Reinforcement Learning' and 'Distributional Reinforcement Learning with Quantile Regression' based on OpenAi DQN baselines.
JavaScript syntax highlighter with language auto-detection and zero dependencies.
Code for image generation of Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
A crash course in six episodes for software developers who want to become machine learning practitioners.
PyTorch Tutorial for Deep Learning Researchers
Layers Outputs and Gradients in Keras. Made easy.
Collection of reinforcement learning algorithms
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
Author's PyTorch implementation of BCQ for continuous and discrete actions
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
Prioritized Experience Replay (PER) implementation in PyTorch
A toolkit for reproducible reinforcement learning research.
Reinforcement Learning with Deep Energy-Based Policies
Torch implementation of neural style algorithm
Tensorflow (Python API) implementation of Deep Photo Style Transfer
Unofficial pytorch implementation of Image Style Transfer Using Convolutional Neural Networks [Gatys+, CVPR2016]
Image style transfer using Convolutional Neural Networks
Implementation of style transfer by tensorflow, for detail please see the paper "Image Style Transfer Using Convolutional Neural Networks"(CVPR2016)
Minimal implementation of a radial basis function network.
TensorFlow implementation of GoogLeNet and Inception for image classification.
Tensorflow Faster RCNN for Object Detection