ab3d

ab3dmot

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

adabound

An optimizer that trains as fast as Adam and as good as SGD.

autotimes

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bayesnewton

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

bench2drive

Closed-loop multi-ability evaluation of end-to-end autonomous driving algorithms

cep-energy-guided-diffusion

Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction

cmf

[ICLR 2024] Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation.

cvxpylayers

Differentiable convex optimization layers

dapper

Data Assimilation with Python: a Package for Experimental Research

direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

dsac-t

DSAC-v2; DASC; Distributional Soft Actor-Critic

error-state-extended-kalman-filter

Vehicle State Estimation using Error-State Extended Kalman Filter

genad

[ECCV 2024] GenAD: Generative End-to-End Autonomous Driving

gops

GOPS (General Optimal control Problem Solver)

implicitmap

Code to accompany "Implicit Maximum a Posteriori Filtering via Adaptive Optimization" by Gianluca Bencomo, Jake Snell, and Tom Griffiths (under review at ICLR 2023).

liu-s-q19

llmtime

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

mamba

Mamba SSM architecture

mhe-layers

Code of the numerical example in "Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers".

poly-mot

Official Repo For IROS 2023 Accepted Paper "Poly-MOT"

probabilisticcontactestimation

Probabilistic Contact State Estimation for Legged Robots in ROS

pytorch-book

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

PyTorch Tutorial for Deep Learning Researchers

rad

rebayes

Recursive Bayesian Estimation (Sequential / Online Inference)

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

sde

Example codes for the book Applied Stochastic Differential Equations