The Julia Programming Language

Sampling-based approach to analyse neural networks using TensorFlow

The Abstraction and Reasoning Corpus

Python implementation of JFRED

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

An example code of deep ensemble learning for overcoming imbalance labels

This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Globa…

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Minimal Monte Carlo Policy Gradient (REINFORCE) Algorithm Implementation in Keras

StellarGraph - Machine Learning on Graphs

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

DenseNet Implementation in Keras with ImageNet Pretrained Models

fork from https://github.com/liuzhuang13/DenseNet

implement [DenseNet](https://github.com/liuzhuang13/DenseNet)

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Semantic embeddings of entities

Hierarchy-based Image Embeddings for Semantic Image Retrieval

STUMPY is a powerful and scalable Python library for modern time series analysis

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

Deep Neuroevolution

Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.

Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab

Random Network Distillation pytorch