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.
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
A-Meta-Transfer-Objective-For-Learning-To-Disentangle-Causal-Mechanisms
Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
bayesian_benchmarks
A community repository for benchmarking Bayesian methods
causal_inference_python_code
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
cbl-website
CBL website
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
GMPS
Guided-Meta Policy Search
handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
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.
learning_to_adapt
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
mpc.pytorch
A fast and differentiable model predictive control (MPC) solver for PyTorch.
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
RL-Adventure
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
rl-generalization
Modifiable OpenAI Gym environments for studying generalization in RL
scalable_agent
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
sepsis3-mimic
Evaluation of the Sepsis-3 guidelines in MIMIC-III
WorldModelsExperiments
World Models Experiments