kuanghuei
Follow
Stars
PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)
Gym - 32 levels of original Super Mario Bros
An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities
Tensorflow 2 implementations of the C-SimCLR and C-BYOL self-supervised visual representation methods from "Compressive Visual Representations" (NeurIPS 2021)
List of competitions related to Reinforcement Learning
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Code for Go-Explore: a New Approach for Hard-Exploration Problems
Reproduction of the paper "Soft Q-Learning with Mutual Information Regularization" CoRL 2019.
Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
An educational resource to help anyone learn deep reinforcement learning.
Companion webpage to the book "Mathematics For Machine Learning"
Simple and easily configurable 3D FPS-game-like environments for reinforcement learning
Reinforcement Learning for Gym CarRacing-v0 with PyTorch
Code repository for the Animal AI Olympics competition
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
World Models Experiments
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Tensorflow implementation of BootstrappedDQN using OpenAI baselines
Reinforcement Learning implementations and research prototyping in TensorFlow
The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .
A flexible, high-performance 3D simulator for Embodied AI research.
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.