Stars
Forward and Inverse radiative transfer models using the adding-doubling method in python.
Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator
A collection of Python scripts to acquire SFDI data and process it, in order to measure optical properties of tissue.
Forward and Inverse Radiative Transport using the Adding-Doubling method
This is a collection of our NAS and Vision Transformer work.
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLO11, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
PaddleSlim is an open-source library for deep model compression and architecture search.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
🔥🔥🔥 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
PyTorch Tutorial for Deep Learning Researchers
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Aiming at the common training datsets split, spectrum preprocessing, wavelength select and calibration models algorithm involved in the spectral analysis process, a complete algorithm library is es…
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
The YOLOv5 object detection android example
A PyTorch Library for Meta-learning Research
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Pytorch implementation of cnn network
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
An implement of origin faster-rcnn based on tensorflow 2.x and visualize it.使用Tensorflow2.x实现了faster-rcnn并可视化算法运行流程