A lightweight and extensible toolbox for image classification
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Updated
Jun 6, 2024 - Python
A lightweight and extensible toolbox for image classification
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Semantic segmentation models with pretrained backbones. PyTorch.
EfficientViT is a new family of vision models for efficient high-resolution vision.
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Official PyTorch implementation for "HyenaPixel: Global Image Context with Convolutions"
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
Decoupled Kullback-Leibler Divergence Loss (DKL)
🎯 Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
An AI-powered backend empowering the visually impaired through image recognition, OCR, and audio transcription
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
A toolbox of vision models and algorithms based on MindSpore
RectLabel is an offline image annotation tool for object detection and segmentation.
This is an official pytorch implementation of Fast Fourier Convolution.
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
Simple implementation of the paper "ImageNet Classification with Deep Convolutional Neural Networks" using pytorch.
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