AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

OpenMMLab Detection Toolbox and Benchmark

Image-to-Image Translation in PyTorch

Graph Neural Network Library for PyTorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

WebUI extension for ControlNet

Avatars for Zoom, Skype and other video-conferencing apps.

🐍 Geometric Computer Vision Library for Spatial AI

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

A collaboration friendly studio for NeRFs

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

Anomaly detection related books, papers, videos, and toolboxes

Object detection, 3D detection, and pose estimation using center point detection:

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

A PyTorch Implementation of Single Shot MultiBox Detector

Pre-trained Deep Learning models and demos (high quality and extremely fast)

Time series forecasting with PyTorch

[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

A Simple and Versatile Framework for Object Detection and Instance Recognition

Sandbox for training deep learning networks

Retinaface get 80.99% in widerface hard val using mobilenet0.25.

🔥🔥🔥 专注于YOLO11，YOLOv8、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

Using modified BiSeNet for face parsing in PyTorch

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。