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awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

cylinder3d

emanet

The code for Expectation-Maximization Attention Networks for Semantic Segmentation (ICCV'2019 Oral)

graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

ia-ssd

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

mine

Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-unet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

road-curve-detection

Given a 3D point cloud obtained by a LiDAR sensor mounted on a car, this project goal is to output the road properties.

roma

[CVPR 2024] RoMa: Robust Dense Feature Matching; RoMa is the robust dense feature matcher capable of estimating pixel-dense warps and reliable certainties for almost any image pair.

selavpr

Official repository for the ICLR 2024 paper "Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition".