529 Open source projects that are alternatives of or similar to Pytorch_classifiers

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

An Implementation of Transformer in Transformer in TensorFlow for image classification, attention inside local patches

Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

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

A PyTorch toolkit with 8 popular deep active learning query methods implemented.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Intelligent APIs aim to make machine learning (ML) tasks easier for UWP developers to leverage in their applications without needing ML expertise or creating a new model.

记录一些读过的论文，给出个人对论文的评分情况并简述论文insight

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

Notebooks for Fastai Viusal Guide

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

Inception V3 for Transfer Learning on Cats and Dogs

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

Python REST API to detect images with adult content

VGG-19 deep learning model trained using ISCX 2012 IDS Dataset

Persian Bert For Long-Range Sequences

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

Serving TensorFlow models with TensorFlow Serving 📙

[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.

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

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Open Toolkit for Painless Object Detection

Efficient Learning of Augmentation Policy Schedules

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

ePillID Dataset: A Low-Shot Fine-Grained Benchmark for Pill Identification (CVPR 2020 VL3)

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

A Simple Deep Neural Network to classify images made with Keras

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Genre Classification using Convolutional Neural Networks

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

🎒 Bag of Visual words (BoW) approach for object classification and detection in images together with SIFT feature extractor and SVM classifier.

kaggle Dog Breed Identification

An easy to use open-source library for advanced Deep Learning and Natural Language Processing

Implementation of Bottleneck Transformer in Pytorch

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Transfer Learning Toolkit for Primary Researchers

No description or website provided.

Transfer Learning Library

Classifying the Blur and Clear Images

A collection of SOTA Image Classification Models in PyTorch

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Use machine learning in AppInventor, with easy training using text, images, or numbers through the Machine Learning for Kids website.

Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

GUI-based software for training, evaluating and applying deep neural nets for image classification

猫狗大战

Final Project of the Udacity AI Programming with Python Nanodegree

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

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

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

Image classification of wildflowers using deep residual learning and convolutional neural nets

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.