scikit-learn: machine learning in Python

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Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

A faster pytorch implementation of faster r-cnn

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

OpenMMLab's next-generation platform for general 3D object detection.

Most popular metrics used to evaluate object detection algorithms.

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

A PyTorch implementation of the YOLO v3 object detection algorithm

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

Pytorch framework for doing deep learning on point clouds.

pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

PyTorch implementation of adversarial attacks [torchattacks]

Elyra extends JupyterLab with an AI centric approach.

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

Deep Hough Voting for 3D Object Detection in Point Clouds

A very simple generative adversarial network (GAN) in PyTorch

PyTorch implementation of Pointnet2/Pointnet++

DomainBed is a suite to test domain generalization algorithms

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

The repository containing tools and information about the WoodScape dataset.

PyTorch Implementation for Deep Metric Learning Pipelines

Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)

Fourier Domain Adaptation for Semantic Segmentation