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🔭 I’m currently working on RL
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🌱 I’m currently learning LLM
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👯 I’m looking to collaborate on Bayesian Filtering
Type: User
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
An optimizer that trains as fast as Adam and as good as SGD.
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
A Python implementation of global optimization with gaussian processes.
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
Closed-loop multi-ability evaluation of end-to-end autonomous driving algorithms
Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction
[ICLR 2024] Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation.
Differentiable convex optimization layers
Data Assimilation with Python: a Package for Experimental Research
Reference implementation for DPO (Direct Preference Optimization)
DSAC-v2; DASC; Distributional Soft Actor-Critic
Vehicle State Estimation using Error-State Extended Kalman Filter
[ECCV 2024] GenAD: Generative End-to-End Autonomous Driving
GOPS (General Optimal control Problem Solver)
Code to accompany "Implicit Maximum a Posteriori Filtering via Adaptive Optimization" by Gianluca Bencomo, Jake Snell, and Tom Griffiths (under review at ICLR 2023).
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Mamba SSM architecture
Code of the numerical example in "Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers".
Official Repo For IROS 2023 Accepted Paper "Poly-MOT"
Probabilistic Contact State Estimation for Legged Robots in ROS
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
PyTorch Tutorial for Deep Learning Researchers
Recursive Bayesian Estimation (Sequential / Online Inference)
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Example codes for the book Applied Stochastic Differential Equations
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.