978 Open source projects that are alternatives of or similar to Imagenet

Classification models trained on ImageNet. Keras.

Various CNN models for CIFAR10 with Chainer

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

用python做计算机视觉，人工智能，机器学习，深度学习等

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

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

High level network definitions with pre-trained weights in TensorFlow

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

A collection of deep learning models (PyTorch implemtation)

PyTorch implementation of DeepDream algorithm

No description or website provided.

ASR with PyTorch

Computer vision library for wildfire detection

practice on CIFAR10 with Keras

tensorflow implementation of Grad-CAM (CNN visualization)

A list of popular deep learning models related to classification, segmentation and detection problems

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Deep Learning Computer Vision Algorithms for Real-World Use

Finetuning any DNN for better embedding on neural search tasks

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

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

♾A curated list of papers and code about very deep neural networks

Object classification with CIFAR-10 using transfer learning

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

Fine-tune pretrained Convolutional Neural Networks with PyTorch

PyTorch to Keras model convertor

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

Multiclass image classification using Convolutional Neural Network

Speech commands recognition with PyTorch

PyTorch to Keras model convertor

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Gluon to PyTorch deep neural network model converter

TensorFlow implementation of Faster RCNN for Object Detection

PyTorch implementation of "Pyramid Scene Parsing Network".

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Skin cancer classification using Inceptionv3

Play deep learning with CIFAR datasets

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

PyTorch implementation of CNNs for CIFAR benchmark

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Keras implementation of BERT with pre-trained weights

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Classification with PyTorch.

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

Gluon to PyTorch deep neural network model converter

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Detecting cinema shot types using a ResNet-50

Protein Language Model

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

food image to recipe with deep convolutional neural networks.

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.