2279 Open source projects that are alternatives of or similar to Pytorch Toolbelt

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

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This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

2nd place solution to Kaggle's Cdiscount image classification challange.

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

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Multi-platform, free open source software for visualization and image computing.

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9th Place Solution of Kaggle Global Wheat Detection

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

deep learning for image processing including classification and object-detection etc.

🎨 🎨 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/

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A list of popular deep learning models related to classification, segmentation and detection problems

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

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Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

Cut and paste augmentation for object detection and instance segmentation

Smart India Hackathon 2019 project given by the Department of Atomic Energy

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

Satellite Imagery Feature Detection (68 out of 419)

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

A simple image dataset EDA tool (CLI / Code)

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6

Open solution to the Mapping Challenge 🌎

Prostate MR Image Segmentation 2012

Image Test Time Augmentation with PyTorch!

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Efficient Learning of Augmentation Policy Schedules

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Gluon CV Toolkit

Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.

Keras package for region-based convolutional neural networks (RCNNs)

Open solution to the Home Credit Default Risk challenge 🏡

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

🚘 "MORE THAN VEHICLE COUNTING!" This project provides prediction for speed, color and size of the vehicles with TensorFlow Object Counting API.

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.

C++ implementation pool for computer vision R&D projects.

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

yolo(all versions) implementation in keras and tensorflow 2.4

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"