1155 Open source projects that are alternatives of or similar to Holy Edge

Awesome GAN for Medical Imaging

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Trainable models and NN optimization tools

The U-Net Segmentation plugin for Fiji (ImageJ)

Perception toolkit for sim2real training and validation

Camouflaged Object Detection, CVPR 2020 (Oral & Reported by the New Scientist Magazine)

DeeplabV2 segmentation in Keras.

Multi-Scale Context Aggregation by Dilated Convolutions in Keras.

Mask RCNN in TensorFlow

All-in-one Toolbox for Computer Vision Research.

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

API for the dataset proposed in "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

《深度学习与计算机视觉》配套代码

Anomaly detection tutorial on univariate time series with an auto-encoder

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Real-Time Video Segmentation on Mobile Devices with DeepLab V3+, MobileNet V2. Worked on the project in 🏝 Jeju island

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

A Fast and Open Source Autonomous Perception System.

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

🍞 基于深度学习方法的图像分割（含语义分割、实例分割、全景分割）。

A Python toolbox for computer vision research and project

ICCV2019最新录用情况

R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

🔥🔥Official Repository for Multi-Human-Parsing (MHP)🔥🔥

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Rembg Video Virtual Green Screen Edition

Collections of model quantization algorithms

Dstl Satellite Imagery Feature Detection

Papers and Datasets about Point Cloud.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

基于深度学习的驾驶员分心驾驶行为（疲劳+危险行为）预警系统使用YOLOv5+Deepsort实现驾驶员的危险驾驶行为的预警监测

DilatedNet in Keras for image segmentation

Variants of Vision Transformer and its downstream tasks

OpenMMLab Model Compression Toolbox and Benchmark.

Code for https://unsupervised-llamas.com

Sparse and structured neural attention mechanisms

SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Apparel detection using deep learning

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

The code for preparing the training data for crowd counting / segmentation algorithm.

Resurces for MRI images processing and deep learning in 3D

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.

Kaggle | 9th place single model solution for TGS Salt Identification Challenge

Superpixels segmentation algorithms with QT and OpenCV, with a nice GUI to colorize the cells

PyTorch Implementation for Segmentation and Saliency Prediction

python从最基础的语法历经网络基础、前端基础、后端基础和爬虫与数据基础走向机器学习

See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks (CVPR19)

Code and models for paper "Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge" at International Conference on Biometrics (ICB) 2018