liu-s-q19

mamba

Mamba SSM architecture

Time-Series-Library

A Library for Advanced Deep Time Series Models.

liu-s-q19

weighted-likelihood-filter

LoRA

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

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

rebayes

Recursive Bayesian Estimation (Sequential / Online Inference)

DSAC-T

DSAC-v2; DASC; Distributional Soft Actor-Critic

CMF

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

Poly-MOT

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

Sparse4D

Sparse4D v1 & v2

direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

llmtime

AutoTimes

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

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).

seaborn

Statistical data visualization in Python

CEP-energy-guided-diffusion

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

SfBC

Codes accompanying the paper "Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling" (ICLR 2023) https://arxiv.org/abs/2209.14548

DAPPER

Data Assimilation with Python: a Package for Experimental Research

BayesNewton

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

AB3D

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

ProbabilisticContactEstimation

Probabilistic Contact State Estimation for Legged Robots in ROS

AdaBound

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

Error-State-Extended-Kalman-Filter

Vehicle State Estimation using Error-State Extended Kalman Filter

GOPS

GOPS (General Optimal control Problem Solver)

AB3DMOT

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

cvxpylayers

Differentiable convex optimization layers

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》)

mhe-layers

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