jiahongljh

3D-Bounding-Box-Labeling-Tool-Demo

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

aws-deepracer-workshops

DeepRacer workshop content

but_calibration_camera_velodyne

CLR

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

HGNN

Hypergraph Neural Networks (AAAI 2019)

jiahongljh.github.io

Jiahong Li's homepage

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

jiahongljh/3D-Bounding-Box-Labeling-Tool-Demo

jiahongljh/jiahongljh.github.io

Jiahong Li's homepage

jiahongljh/awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

jiahongljh/Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

jiahongljh/aws-deepracer-workshops

DeepRacer workshop content

jiahongljh/but_calibration_camera_velodyne

jiahongljh/CLR

jiahongljh/filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

jiahongljh/HGNN

Hypergraph Neural Networks (AAAI 2019)

jiahongljh/Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

jiahongljh/MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

jiahongljh/Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

jiahongljh/PythonRobotics

Python sample codes for robotics algorithms.

jiahongljh/reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

jiahongljh/rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

jiahongljh/spinningup

An educational resource to help anyone learn deep reinforcement learning.

jiahongljh/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

jiahongljh/Tradition_Lane_Detection

Advanced_Lane_Detection项目的复现，换了数据，增加了一些功能，写了一些总结