geometricbci Goto Github PK
Name: Ce Ju
Type: User
Bio: Math Player; Coding Abandoner; Fellow of Starbucks.
Name: Ce Ju
Type: User
Bio: Math Player; Coding Abandoner; Fellow of Starbucks.
An open autonomous driving platform
My code of implementation of Apprenticeship Learning via IRL (Abbeel & Ng, 2004)
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)
Computations and statistics on manifolds with geometric structures.
Riemannian Adaptive Optimization Methods with pytorch optim
Paper list of multi-agent reinforcement learning (MARL)
Effective and Efficient Sports Play Retrieval with Deep Representation Learning
A library for encrypted, privacy preserving machine learning
Jupyter notebooks of the simulations ran as part of a semester project on "Quantum Reinforcement Learning and Projective Simulation" at Télécom ParisTech.
Score-based generative models for compact manifolds
We implement the basic grid search algorithm for tuning the hyper-parameter of robotic planning. The planning algorithm is implemented via optimal trajectory generation in Frenet frame.
Implementation of Deep SPDNet in pytorch
This is the python implementation of Tensor-CSPNet and Graph-CSPNet.
Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
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.