351 Open source projects that are alternatives of or similar to regnet.pytorch

Classification models trained on ImageNet. Keras.

Classification with PyTorch.

TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search (ECCV2020)

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

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

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

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

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

PyTorch implementation of PNASNet-5 on ImageNet

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.

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Code for ICLR 2020 paper 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'

Segmentation models with pretrained backbones. PyTorch.

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

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

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

TensorFlow implementation of PNASNet-5 on ImageNet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

OpenMMLab Image Classification Toolbox and Benchmark

ImageNet pre-trained models with batch normalization for the Caffe framework

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Sandbox for training deep learning networks

73.6% GhostNet 1.0x pre-trained model on ImageNet

Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".

Implement Differentiable Architecture Search (DARTS) for RNN with fastai

Yet another PyTorch implementation of Tacotron 2 with reduction factor and faster training speed.

Create a concurrent video analysis pipeline featuring multistream face and human pose detection, vehicle attribute detection, and the ability to encode multiple videos to local storage in a single stream.

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

Pytorch code to generate adversarial examples on mnist and ImageNet data.

Unofficial TensorFlow implementation of "AlexNet" architecture.

Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

Neural syntax annotator, supporting sequence labeling, lemmatization, and dependency parsing.

Encodings for neural architecture search

No description or website provided.

A collection of SOTA Image Classification Models in PyTorch

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

Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

Deep Learning Transformer models in MATLAB

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Open Set Recognition

Compare neural networks by their feature similarity

Detect various irregularities of a product as it moves along a conveyor belt.

PyTorch implementation of "Pyramid Scene Parsing Network".

PyTorch to Keras model convertor

An open source implementation of CLIP.

Etiketai is an online tool designed to label images, useful for training AI models

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

TensorFlow ImageNet - Training and SOTA checkpoints

High-resolution breast cancer screening with multi-view deep convolutional neural networks

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.