Reference PyTorch implementation and models for DINOv3

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/

Approaching (Almost) Any Machine Learning Problem

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

[MICCAI2019 & TMI2020] Overfitting under Class Imbalance: Anaylsis and Improvements for Medical Image Segmentation.

OpenMMLab Pre-training Toolbox and Benchmark

FetalNet: Multi-Task Deep Learning Framework for Fetal Ultrasound Biometric Measurements

FeAture Explorer

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

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.

Image restoration with neural networks but without learning.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

To classify video into various classes using keras library with tensorflow as back-end.

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

Simultaneous object detection and tracking using center points.

Python coded examples and documentation of machine learning algorithms.

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

A list of Medical imaging datasets.

a pytorch code about Residual Attention Network. This code is based on two projects from

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

Evaluating the reproducibility of mortality prediction studies in the MIMIC-III database

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Video classification tools using 3D ResNet

Never use print for debugging again

A High-Quality Real Time Upscaler for Anime Video

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.