Pinned Repositories
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.
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
liu-s-q19's Repositories
liu-s-q19/AB3D
liu-s-q19/AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
liu-s-q19/AdaBound
An optimizer that trains as fast as Adam and as good as SGD.
liu-s-q19/AutoTimes
Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"
liu-s-q19/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
liu-s-q19/BayesNewton
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
liu-s-q19/CEP-energy-guided-diffusion
Official codebase for Exact Energy-Guided Diffusion Sampling via Contrastive Energy Prediction
liu-s-q19/CMF
[ICLR 2024] Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation.
liu-s-q19/cvxpylayers
Differentiable convex optimization layers
liu-s-q19/DAPPER
Data Assimilation with Python: a Package for Experimental Research
liu-s-q19/direct-preference-optimization
Reference implementation for DPO (Direct Preference Optimization)
liu-s-q19/DSAC-T
DSAC-v2; DASC; Distributional Soft Actor-Critic
liu-s-q19/Error-State-Extended-Kalman-Filter
Vehicle State Estimation using Error-State Extended Kalman Filter
liu-s-q19/GOPS
GOPS (General Optimal control Problem Solver)
liu-s-q19/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/liu-s-q19
liu-s-q19/llmtime
liu-s-q19/LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
liu-s-q19/mamba
Mamba SSM architecture
liu-s-q19/mhe-layers
Code of the numerical example in "Learning-based Moving Horizon Estimation through Differentiable Convex Optimization Layers".
liu-s-q19/Poly-MOT
Official Repo For IROS 2023 Accepted Paper "Poly-MOT"
liu-s-q19/ProbabilisticContactEstimation
Probabilistic Contact State Estimation for Legged Robots in ROS
liu-s-q19/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》)
liu-s-q19/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
liu-s-q19/rebayes
Recursive Bayesian Estimation (Sequential / Online Inference)
liu-s-q19/seaborn
Statistical data visualization in Python
liu-s-q19/SfBC
Codes accompanying the paper "Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling" (ICLR 2023) https://arxiv.org/abs/2209.14548
liu-s-q19/Sparse4D
Sparse4D v1 & v2
liu-s-q19/Time-Series-Library
A Library for Advanced Deep Time Series Models.
liu-s-q19/weighted-likelihood-filter