chaochaolu Goto Github PK
Name: Chaochao Lu
Type: User
Company: Shanghai AI Laboratory
Location: Shanghai, China
Blog: https://causallu.com/
Name: Chaochao Lu
Type: User
Company: Shanghai AI Laboratory
Location: Shanghai, China
Blog: https://causallu.com/
Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"
Tensorflow implementation of the asynchronous advantage actor-critic (a3c) reinforcement learning algorithm for continuous action space
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A community repository for benchmarking Bayesian methods
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causal Inference in Python
CBL website
Causal Effect Inference with Deep Latent-Variable Models
Learning to reinforcement learn and treating sepsis on the side
Hands-on Deep Reinforcement Learning, published by Packt
A list of papers and resources dedicated to deep reinforcement learning
Notebooks from our series of blogpost about Deep Reinforcement Learning
disentanglement_lib is an open-source library for research on learning disentangled representations.
Deep Markov Models
Deconfounding Reinforcement Learning in Observational Settings
Conditional Independence Testing with Generative Adversarial Networks
Guided-Meta Policy Search
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Modified CartPole-v0 OpenAI Gym environment with various noisy cases and Reinforcement Learning based controller
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Causal Inference & Deep Learning, MIT IAP 2018
VAEs and nonlinear ICA: a unifying framework
Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.