Humengge's repositories
act-plus-plus
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
02456-deep-learning-with-PyTorch
Exercises and supplementary material for the deep learning course 02456 using PyTorch.
An-algorithm-of-extracting-line-feature-of-laser-radar-combined-with-SVM
An algorithm of extracting line feature of laser radar combined with SVM
Artificial-Intelligence-with-Python
Code repository for Artificial Intelligence with Python, published by Packt
beblid-opencv-demo
How to improve a 14% your image matching with only one line of code? BEBLID is the key!
computer-vision-tutorial
computer vision tutorial guide courses books codes slides resources
deep_sort_yolov3_pytorch
:punch: Add attention blocks such as cbam, se. Add deep sort, sort and some tracking algorithm using opencv
deeplearning-models
A collection of various deep learning architectures, models, and tips
improving_segmentation_with_selfsupervised_depth
[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"
labelCloud
A lightweight tool for labeling 3D bounding boxes in point clouds.
MachineLearning
Basic Machine Learning and Deep Learning
Open3D
Open3D: A Modern Library for 3D Data Processing
packnet-sfm
TRI-ML Monocular Depth Estimation Repository
Pointcept
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
Pointnet_Pointnet2_pytorch
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
pytorch_classification
利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码
rust-course
“连续六年成为全世界最受喜爱的语言，无 GC 也无需手动内存管理、极高的性能和安全性、过程/OO/函数式编程、优秀的包管理、JS 未来基石" — 工作之余的第二语言来试试 Rust 吧。<<Rust语言圣经>>拥有全面且深入的讲解、生动贴切的示例、德芙般丝滑的内容，甚至还有JS程序员关注的 WASM 和 Deno 等专题。这可能是目前最用心的 Rust 中文学习教程 / Book
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
semantic-kitti-api
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
Smile_Detector
Train and test Smile-Detector Machine Learning models / 利用机器学习模型训练和检测笑脸
tutorials
Just Announced - "Learn Spring Security OAuth":