621 Open source projects that are alternatives of or similar to Parametric-Contrastive-Learning

Implementing Searching for MobileNetV3 paper using Pytorch

A Keras implementation of MobileNetV3.

Balanced Multiclass Image Classification with TensorFlow on Python.

A specially designed light version of Fast AutoAugment

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

100-Days-Of-ML-Code中文版

A Harder ImageNet Test Set (CVPR 2021)

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PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Chrome browser extension for using TensorFlow image recognition on web pages

Implement YOLOv3 with TensorFlow

Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

MoGA: Searching Beyond MobileNetV3

A smart album for Android which use tensorflow to classify images

Advanced High Performance Data Science Toolbox for R by Laurae

A curated list of deep learning image classification papers and codes

Bridging the gap Between Stability and Scalability in Neural Architecture Search

Official implementation of MSR-GCN (ICCV2021 paper)

CNN image classifier implemented in Keras Notebook 🖼️.

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

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Almost any Image classification problem using pytorch

[ICLR2022] official implementation of UniFormer

Facial Expression Recognition using Residual Masking Network

A Caffe Re-Implementation of SENet

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

PyTorch implementation of PNASNet-5 on ImageNet

Implementing Lambda Networks using Pytorch

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

🙄 Difficult algorithm, Simple code.

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

Deep Learning Food Classifier for iOS using Keras and Tensorflow

Learning to Cluster. A deep clustering strategy.

Segmentation models with pretrained backbones. PyTorch.

Image Tampering Detection using ELA and CNN

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

PyTorch baseline for AI challenger Scene classification

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

A unified program to check predictions of different convolutional neural networks for image classification.

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Keras implementation of Mobile Networks

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Comparison of famous convolutional neural network models

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

Collection of computer vision models, ready to be included in a JVM project

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

🤖 Cozmo the Robot recognizes objects with TensorFlow

LibFewShot: A Comprehensive Library for Few-shot Learning.

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

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

A Tetris environment to train machine learning agents

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

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

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A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.