nigyiii's starred repositories
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
awesome-resume
Resume,Resume Templates,程序员简历例句,简历模版,
honest_llama
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
mysql-tutorial
MySQL入门教程(MySQL tutorial book)
stable-diffusion
A latent text-to-image diffusion model
Birds-eye-view-Perception
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
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
Awesome-3D-Object-Detection-for-Autonomous-Driving
3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
pytorch-OpCounter
Count the MACs / FLOPs of your PyTorch model.
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
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
geph4-client
Geph (迷霧通) is a modular Internet censorship circumvention system designed specifically to deal with national filtering.
package-manager-proxy-settings
记录各个包管理器代理设置坑点。
mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
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.
pseudo_lidar
(CVPR 2019) Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
LapDepth-release
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals
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)
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!
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。