1042 Open source projects that are alternatives of or similar to Assembled Cnn

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

CNN image classifier implemented in Keras Notebook 🖼️.

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

Object classification with CIFAR-10 using transfer learning

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

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

Deep Learning Computer Vision Algorithms for Real-World Use

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

TensorFlow Implementation of state-of-the-art models since 2012

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

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

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

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

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

Official Implementation of 'Fast AutoAugment' in PyTorch.

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

AutoGluon: AutoML for Text, Image, and Tabular Data

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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

Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures

A machine learning experiment

A photo OCR project aims to output DMS messages contained in sign structure images.

Skin cancer classification using Inceptionv3

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.

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

Best Practices, code samples, and documentation for Computer Vision.

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

A library for transfer learning by reusing parts of TensorFlow models.

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Image Tampering Detection using ELA and CNN

PSPNet in Chainer

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Evaluation of the CNN design choices performance on ImageNet-2012.

Parametric Contrastive Learning (ICCV2021)

Class-Weighted Convolutional Features for Image Retrieval (BMVC 2017)

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

No description or website provided.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

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

Deep learning codes and projects using Python

🤖 Cozmo the Robot recognizes objects with TensorFlow

Bottleneck Transformers for Visual Recognition

A specially designed light version of Fast AutoAugment

Repository to identify Lego bricks automatically only using images

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

Building a Neural Network that classifies faces using OpenCV and Tensorflow

Listing my favorite research papers 📝 from different fields as I read them.

A collection of SOTA Image Classification Models in PyTorch

Reference implementations of popular DL models missing from keras-applications & keras-contrib

Corruption and Perturbation Robustness (ICLR 2019)

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

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