model-architecture

There are 5 repositories under model-architecture topic.

szq0214 / MEAL-V2
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. In NeurIPS 2020 workshop.
distillation imagenet compression-algorithm mobilenetv3 efficientnet pre-trained resnet50 imagenet-dataset meal model-architecture pytorch distillation-model
Language:Python 684
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)
pytorch python imagenet alexnet squeezenet densenet-pytorch densenet resnet vgg model-architecture
Language:Python 367
floydhub / imagenet
Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
imagenet-dataset pytorch transfer-learning vgg alexnet resnet inception-v3 squeezenet densenet pretrained-models model-architecture deep-learning floydhub convolutional-neural-networks
Language:Python 156
minar09 / VGG16-PyTorch
VGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
vgg vgg16 vgg19 imagenet-dataset pytorch alexnet resnet model-architecture
Language:Shell 82
sasidhar-programmer / Tensorflow_Advance_Techniques
deeplearning.ai Tensorflow advance techniques specialization
siamese-network loss-functions tensorflow tensorflow-advance coursera deeplearning-ai object-detection imagesegmentation tensorflow-features model-architecture github-tensorflow resnet rcnn mask-rcnn unet-image-segmentation
Language:Jupyter Notebook 74
bignerdranch / stockwatcher
stockwatcher, a modern android development stack showcase
rxjava2 retrofit2 dagger2 databinding android model-architecture architectural-patterns
Language:Java 62
haimengzhao / CAE-ADMM
CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders
admm pytorch image-compression model-architecture network-pruning autoencoders lossy-image-compression
Language:Python 45
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
elasticsearch javascript javascript-applications model model-architecture node
Language:JavaScript 13
zwimpee / CXResnet
Chest X-Ray Image classification using PyTorch.
model-architecture chest-xrays
Language:Python 8
rkshiyaniya / Image-Segmentation-Using-TensorFlow
This Repository contains TensorFlow implementation of different Image Segmentation Architecture on different types of datasets.
camvid-image-segmentation deep-learning deep-neural-networks fcn8 image-segmentation keras model-architecture notebook oxford-pet tensorflow unet vgg16-model
Language:Jupyter Notebook 2
mip-for-ann
chair-dsgt / mip-for-ann
Official PyTorch and CVXPY implementation of Identifying Critical Neurons in ANN Architectures using Mixed Integer Programming
mixed-integer-programming model-architecture neural-model-compression
Language:Python 1
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.
python-3-6 anaconda-cloud jupyter-notebook aws-ec2 tensorflow deep-learning computer-vision convolutional-neural-networks traffic-sign-classification model-architecture validation-accuracy prediction epoch dropout grayscale ipython-notebook traffic-signs
Language:HTML 1
ltfschoen / aind2-cnn
mlp tensorflow training testing validation image-recognition one-hot-encode deep-neural-networks keras multi-layer-perceptron multi-layer-architecture model-architecture loss-functions optimiser classification convolutional-neural-networks image-augmentation global-average-pooling
Language:Jupyter Notebook 1
suprateembanerjee / Traffic-Sign-Recognition
In this project I have designed a Traffic Sign Classifier, which classifies German Traffic Signs.
traffic-signs model-architecture softmax-probabilities prediction classifier image-classification traffic-sign-classification python3 deep-learning convolutional-layers
Language:Jupyter Notebook 1
fredotran / traffic-sign-recognition
This is my first personal project about training a deep learning algorithm for road traffic signs recognition.
traffic-sign model-architecture deep-learning-algorithm computer-vision classification-algorithm
Language:Jupyter Notebook 0
hashtag32 / Behavioral-Cloning
Udacity Self Driving Car Nanodegree - Behavioral Cloning
model-architecture neural-network steering-angles vehicle overfitting self-driving-car deep-learning machine-learning deep-learning-algorithms deep-neural-networks
Language:Python 0
jimwinquist / behavioral-cloning
Deep Learning Project to Teach a Car to Drive Autonomously Using Only Camera Images.
autonomous-car camera-image car computer-vision deep-learning model-architecture self-driving-car simulator
Language:Python 0
jinglebot / Behavioral_Cloning
Udacity CarND Behavioral Cloning Project, Python, Tensorflow, Keras
behavioral-cloning behavior-driven-development keras tensorflow opencv python3 numpy convolutional-neural-network matplotlib simulator autonomous-driving model-architecture nvidia-model deep-learning mse
Language:Python 0
namadjidku / CarND-Behavioral-Cloning-P3
Building a network to predict steering angles from images
model-architecture cnn-keras
Language:Python 0
namadjidku / CarND-Traffic-Sign-Classifier-Project
Traffic signs classifier
model-architecture training-dataset
Language:Jupyter Notebook 0
piscab / Behavioral-Cloning
Clone driving behavior using a deep convolutional neural network (CNN).
self-driving-cars nvidia-model convolutional-layers model-architecture convolutional-neural-networks udacity picture-squares car pixel tensorflow-models
Language:Python 0
SSN15 / Traffic-sign-recognition-using-deep-learning-and-computer-vision
Research project on trafiic sign recognition using deep learning and computer vision.
traffic-sign-image model-architecture dataset grayscale plotting
Language:Jupyter Notebook 0
adesgautam / cnn-archs
CNN model architecture implementations in Keras
cnn implementation keras model-architecture tensorflow
Language:Python
jawilk / Traffic-Sign-Classifier
activation augmentation exploratory-data-visualizations lenet model-architecture prediction tensorflow top-5-softmax traffic-sign-classification
Language:HTML
zenetio / Traffic-Car-Classifier
Use CNN to classify traffic signs
traffic-signs model-architecture data-centric cnn-classification computer-vision python prediction-model
Language:Jupyter Notebook

model-architecture

szq0214 / MEAL-V2

jiweibo / ImageNet

floydhub / imagenet

minar09 / VGG16-PyTorch

sasidhar-programmer / Tensorflow_Advance_Techniques

bignerdranch / stockwatcher

haimengzhao / CAE-ADMM

singerxt / ElasticModels

zwimpee / CXResnet

rkshiyaniya / Image-Segmentation-Using-TensorFlow

chair-dsgt / mip-for-ann

jinglebot / Classifying_Traffic_Signs

ltfschoen / aind2-cnn

suprateembanerjee / Traffic-Sign-Recognition

fredotran / traffic-sign-recognition

hashtag32 / Behavioral-Cloning

jimwinquist / behavioral-cloning

jinglebot / Behavioral_Cloning

namadjidku / CarND-Behavioral-Cloning-P3

namadjidku / CarND-Traffic-Sign-Classifier-Project

piscab / Behavioral-Cloning

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

adesgautam / cnn-archs

jawilk / Traffic-Sign-Classifier

zenetio / Traffic-Car-Classifier