262 Open source projects that are alternatives of or similar to Mobilenetv3.pytorch

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

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

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

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

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

Classification models trained on ImageNet. Keras.

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

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

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

Segmentation models with pretrained backbones. PyTorch.

Sandbox for training deep learning networks

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

Implementation of EfficientNet model. Keras and TensorFlow Keras.

73.6% GhostNet 1.0x pre-trained model on ImageNet

Selective Classification For Deep Neural Networks.

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

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.

Unofficial TensorFlow implementation of "AlexNet" architecture.

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

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

A collection of SOTA Image Classification Models in PyTorch

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/

No description or website provided.

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

An open source implementation of CLIP.

Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

Finetuning any DNN for better embedding on neural search tasks

Deep Learning Transformer models in MATLAB

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

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

A collection of pre-trained RL agents using Stable Baselines3

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

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

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

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)

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

SQuAD Question Answering Using BERT, PyTorch

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

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

PyTorch implementation of "Pyramid Scene Parsing Network".

Compare neural networks by their feature similarity

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

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

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

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

Open Set Recognition

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

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

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

Autoencoder trained on ImageNet Using Torch 7

TensorFlow ImageNet - Training and SOTA checkpoints

Training Low-bits DNNs with Stochastic Quantization

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

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.

No.2 solution of Tianchi ImageNet Adversarial Attack Challenge.

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

ImageNet pre-trained SharpPeleeNet can be used in real-time Semantic Segmentation/Objects Detection

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

Tool to evaluate deep-learning detection and segmentation models, and to create datasets