1300 Open source projects that are alternatives of or similar to Torchdistill

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Label Studio is a multi-type data labeling and annotation tool with standardized output format

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Easily train or fine-tune SOTA computer vision models with one open source training library

Sandbox for training deep learning networks

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

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

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

Powerful and efficient Computer Vision Annotation Tool (CVAT)

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

Bottleneck Transformers for Visual Recognition

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

Gluon CV Toolkit

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC

Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

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.

PyTorch extensions for fast R&D prototyping and Kaggle farming

Best Practices, code samples, and documentation for Computer Vision.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Train the HRNet model on ImageNet

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

TensorFlow models accelerated with NVIDIA TensorRT

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

A photo OCR project aims to output DMS messages contained in sign structure images.

🍊 🎑 Orange3 add-on for dealing with image related tasks

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

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

Serve machine learning models using tensorflow serving

A collection of computer vision pre-trained models.

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

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

The ROS Package of Mask R-CNN for Object Detection and Segmentation

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

An open source framework for deep learning on satellite and aerial imagery.

FrostNet: Towards Quantization-Aware Network Architecture Search

Classification with PyTorch.

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

FCOS: Fully Convolutional One-Stage Object Detection.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

🙄 Difficult algorithm, Simple code.

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

PSPNet in Chainer

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Deep Learning sample programs using PyTorch in C++

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Collection of computer vision models, ready to be included in a JVM project

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

An example of using Tensorflow with Unity for image classification and object detection.