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Chaochao Lu's repositories

CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Language:PythonMIT2 10

Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

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pytorch-maml-rl

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch

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A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms

Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"

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awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

MIT020

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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bayesian_benchmarks

A community repository for benchmarking Bayesian methods

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bullet3

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

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causal_inference_python_code

Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins

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cbl-website

CBL website

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disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

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DRL

Deconfounding Reinforcement Learning in Observational Settings

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GCIT

Conditional Independence Testing with Generative Adversarial Networks

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GMPS

Guided-Meta Policy Search

NOASSERTION000

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

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handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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iVAE

VAEs and nonlinear ICA: a unifying framework

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learning_to_adapt

Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

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maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

NOASSERTION000

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

Language:PythonMIT000

progressive_growing_of_gans

Progressive Growing of GANs for Improved Quality, Stability, and Variation

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

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RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

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rl-generalization

Modifiable OpenAI Gym environments for studying generalization in RL

Language:PythonMIT010

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

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scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Language:PythonApache-2.0000

sepsis3-mimic

Evaluation of the Sepsis-3 guidelines in MIMIC-III

Language:Jupyter NotebookMIT020

WorldModelsExperiments

World Models Experiments

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