Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
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Updated
Jul 16, 2024 - Python
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks".
Feather is a module that enables effective sparsification of neural networks during training. This repository accompanies the paper "Feather: An Elegant Solution to Effective DNN Sparsification" (BMVC2023).
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Course project for COMP 6130 Data Mining, Summer'24, Auburn University
A toolbox of vision models and algorithms based on MindSpore
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
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
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study
EfficientViT is a new family of vision models for efficient high-resolution vision.
[AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"
Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)
Sandbox for training deep learning networks
This repository contains a collection of projects focused on implementing various deep learning models and algorithms on FPGA. These projects leverage the power of FPGA for efficient and high-performance execution of machine learning tasks.
[CVPR'24] Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression
Decoupled Kullback-Leibler Divergence Loss (DKL)
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