wenhancao Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

adaptive-dynamic-programming-algorithms

Adaptive dynamic programming

adjustautocorrelation

Adjusting for Autocorrelated Errors in Neural Networks for Time Series

bolei_awesome_posters

CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

closed-form-power-flow

Generalised and linear closed-form expressions for approximation of Power Flow

cmf

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

computation-aware-gp-learning-for-stable-control

deepkoopman

neural networks to learn Koopman eigenfunctions

deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

design_pattern_of_python

discriminative-kalman-filter

companion code for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"

env_build

The repo develops a general and extensible RL environment for large-scale autonomous driving tasks.

eskf

Python implementation of the Error State Kalman Filter (ESKF). Estimates the pose of a fixed wing UAV with IMU and GNSS measurements. Tested and tuned using both a real and simulated dataset.

iplf

This repository contains the implementation of the iterated posterior linearisation filter (IPLF).

jemdoc

Light text markup for creating websites

kalman_filter_with_kitti

Applying extended Kalman filter to KITTI GPS/IMU data for vehicle localization

kalmanfilter-vehicle-gnss-ins

In this project, I implemented a Kalman filter on IMU and GPS data recorded from high accuracy sensors.

kalmann

Extended Kalman filter for training neural-networks

kalmannet_tsp

code for KalmanNet

key-book

《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。

koopa

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

koopman_learning_and_control

Repository for Koopman based learning and nonlinear control

laplace

Laplace approximations for Deep Learning.

laplace-lora

Bayesian low-rank adaptation for large language models

learning_research

本人的科研经验

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mhe-layers

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

mimo-neural-pi

neuromhe

Neural Moving Horizon Estimation (NeuroMHE) is an auto-tuning and adaptive optimal estimator. It fuses a nueral network with an MHE to render fast online adaptation to state-dependent noise. The neural network can be efficiently trained from the robot's trajectory tracking errors without the need for the ground truth data.

non_kf

Code for the paper: Nonlinear Kalman Filtering with Divergence Minimization