nigyiii's Stars
GrowingGit/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。
CompVis/stable-diffusion
A latent text-to-image diffusion model
ruanyf/weekly
科技爱好者周刊,每周五发布
The-Run-Philosophy-Organization/run
润学全球官方指定GITHUB,整理润学宗旨、纲领、理论和各类润之实例;解决为什么润,润去哪里,怎么润三大问题; 并成为新**人的核心宗教,核心信念。
posquit0/Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
aleju/imgaug
Image augmentation for machine learning experiments.
amusi/Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
resumejob/awesome-resume
Resume,Resume Templates,程序员简历例句,简历模版,
open-mmlab/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
Lyken17/pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
open-mmlab/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
jaywcjlove/mysql-tutorial
MySQL入门教程(MySQL tutorial book)
open-mmlab/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
sovrasov/flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
geph-official/geph4-client
Geph (迷霧通) is a modular Internet censorship circumvention system designed specifically to deal with national filtering.
tianweiy/CenterPoint
GYee/CV_interviews_Q-A
CV算法岗知识点及面试问答汇总,主要分为计算机视觉、机器学习、图像处理和 C++基础四大块,一起努力向offers发起冲击!
OpenDriveLab/Birds-eye-view-Perception
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
autonomousvision/transfuser
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
comwrg/package-manager-proxy-settings
记录各个包管理器代理设置坑点。
mileyan/pseudo_lidar
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
chaytonmin/Awesome-BEV-Perception-Multi-Cameras
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD
tusen-ai/SST
Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).
shariqfarooq123/AdaBins
Official implementation of Adabins: Depth Estimation using adaptive bins
cleinc/bts
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
PointsCoder/Awesome-3D-Object-Detection-for-Autonomous-Driving
3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
likenneth/honest_llama
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
aliyun/conditional-lane-detection
tjqansthd/LapDepth-release
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
pbridger/tensorrt-ssd300-8bit-quantized