model-architecture

jiweibo/ImageNet

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)

floydhub/imagenet

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

Chernobyllight/SaMam

CVPR 2025 (Highlight)

minar09/VGG16-PyTorch

VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset

sasidhar-programmer/Tensorflow_Advance_Techniques

deeplearning.ai Tensorflow advance techniques specialization

haimengzhao/CAE-ADMM

CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders

singerxt/ElasticModels

ElasticModels is a elasticsearch object modeling tool designed to work in and asynchronous environment. Builded for official elasticsearch client library Main inspiration was mongoose project

zwimpee/CXResnet

Chest X-Ray Image classification using PyTorch.

rkshiyaniya/Image-Segmentation-Using-TensorFlow

This Repository contains TensorFlow implementation of different Image Segmentation Architecture on different types of datasets.

HasanBGit/ModelCraft

This repo ModelCraft is an open-source of machine learning and deep learning architectures, from classical to advanced models. Each includes precise mathematical explanations and well-documented PyTorch code

chair-dsgt/mip-for-ann

Official PyTorch and CVXPY implementation of Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming

ChaoticTrio/athena

Automated Tool for Hierarchical Exploration of Neural Architectures

jinglebot/Classifying_Traffic_Signs

Identify traffic sign images through Supervised Classification via Deep Learning and Computer Vision using Python, Tensorflow, Jupyter and Anaconda in AWS Cloud.

ltfschoen/aind2-cnn

mikecerton/VGG16_Transfer_Learning_PyTorch

This project utilizes transfer learning with the VGG16 model to perform classification tasks on a custom dataset. [AI Engineer]

suprateembanerjee/Traffic-Sign-Recognition

In this project I have designed a Traffic Sign Classifier, which classifies German Traffic Signs.

uw-swag/mole

MoLE (Mix-of-Language-Experts) model architecture for multilingual programming

fredotran/traffic-sign-recognition

This is my first personal project about training a deep learning algorithm for road traffic signs recognition.

hashtag32/Behavioral-Cloning

Udacity Self Driving Car Nanodegree - Behavioral Cloning

jimwinquist/behavioral-cloning

Deep Learning Project to Teach a Car to Drive Autonomously Using Only Camera Images.

jinglebot/Behavioral_Cloning

Udacity CarND Behavioral Cloning Project, Python, Tensorflow, Keras

namadjidku/CarND-Behavioral-Cloning-P3

Building a network to predict steering angles from images

namadjidku/CarND-Traffic-Sign-Classifier-Project

Traffic signs classifier

piscab/Behavioral-Cloning

Clone driving behavior using a deep convolutional neural network (CNN).

SSN15/Traffic-sign-recognition-using-deep-learning-and-computer-vision

Research project on trafiic sign recognition using deep learning and computer vision.

adesgautam/cnn-archs

CNN model architecture implementations in Keras

jawilk/Traffic-Sign-Classifier

zenetio/Traffic-Car-Classifier

Use CNN to classify traffic signs