lionelblonde Goto Github PK
Type: User
Bio: x-Apple AI Research, PhD in Machine Learning | Imitation Learning and Reinforcement Learning.
Location: Switzerland
Type: User
Bio: x-Apple AI Research, PhD in Machine Learning | Imitation Learning and Reinforcement Learning.
Location: Switzerland
Producer of avro-formatted messages on Kafka and visualization
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
TensorFlow implementation of Behavioral Cloning
Warm-up exercise consisting in implementing Behavioral Cloning w/ Tensorflow
Exercise on Policy Gradient, as an introduction to both the latter and Tensorflow
Streaming and batch ML algorithms library for Zeppelin notebooks
Aggregation of all the dotfiles and scripts used to setup new unix systems
PyTorch implementation of our work: "Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning"
PyTorch implementation of our work: "Where is the Grass Greener? Revisiting Generalized Policy Iteration for Offline Reinforcement Learning"
Extract the thumbnails of a PDF file and arrange them into a grid.
PyTorch implementation of our work: "Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning"
PyTorch implementation of our work: "Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning"
Simple Markov Decision Process toy example
PhD Thesis, "Counterfactual Interactive Learning"
PlayGround: AI Research into Multi-Agent Learning.
PyTorch implementations of the PPO and GAIL algorithms
PyTorch implementations of the PPO and GAIL algorithms
PyTorch implementation (with up-to-date tooling) of the SAM / DAC algorithm
PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"
PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"
TensorFlow implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"
TensorFlow implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"
PyTorch implementation of SimCLR
Resolution of sliding puzzle game w/ Java implementation of the A* algorithm
Soil erosion prediction in PyTorch (using Sentinel-2 data and LUCAS dataset)
Compression via Vector Quantization in PyTorch
ZMK config for a Chocofi keyboard (subset of Corne)
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.