codename1995

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

python-cheatsheet

Comprehensive Python Cheatsheet

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

paper-reading

深度学习经典、新论文逐段精读

SummaryOfLoanSuspension

全国各省市停贷通知汇总

numpy-100

100 numpy exercises (with solutions)

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

learning_research

本人的科研经验

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

awesome-tips

torch-points3d

Pytorch framework for doing deep learning on point clouds.

SoTA-Point-Cloud

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

awesome-point-cloud-analysis-2023

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!

RandLA-Net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

Cylinder3D

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Awesome-Masked-Autoencoders

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

spvnas

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

torchprofile

A general and accurate MACs / FLOPs profiler for PyTorch models

Codes-for-PVKD

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)

SensatUrban

🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)

vuepress-homepage

:page_facing_up: Elegant & friendly homepage (bio, tech portfolio, resume, doc...) template with Markdown and VuePress

Occupancy-MAE

Occupancy-MAE: Self-supervised Pre-training Large-scale LiDAR Point Clouds with Masked Occupancy Autoencoders

ALSO

ALSO: Automotive Lidar Self-supervision by Occupancy estimation

TARL

[CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving

SensatUrban-BEV-Seg3D

An efficient 3D semantic segmentation framework for Urban-scale point clouds like SensatUrban, Campus3D, etc.

GeoMAE

This is the official implementation of the paper - GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training

Urban3D-2021-2nd

The 2nd solution (68.1 mIoU) for 1st Urban3D challenge.