ImagenetPytorch Imagenet Models Example + Transfer Learning (and fine-tuning)
Stars: ✭ 134 (+0%)
Cifar 10 CnnPlay deep learning with CIFAR datasets
Stars: ✭ 756 (+464.18%)
ImagenetThis implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Stars: ✭ 126 (-5.97%)
Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Stars: ✭ 720 (+437.31%)
HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Stars: ✭ 124 (-7.46%)
TensornetsHigh level network definitions with pre-trained weights in TensorFlow
Stars: ✭ 982 (+632.84%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (-55.97%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (+21.64%)
Keras-CIFAR10practice on CIFAR10 with Keras
Stars: ✭ 25 (-81.34%)
Pytorch Image ClassificationTutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Stars: ✭ 272 (+102.99%)
Basic cnns tensorflow2A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
Stars: ✭ 374 (+179.1%)
Pytorch classification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
Stars: ✭ 395 (+194.78%)
Cifar ZooPyTorch implementation of CNNs for CIFAR benchmark
Stars: ✭ 584 (+335.82%)
Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
Stars: ✭ 448 (+234.33%)
Tensorflow 101TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Stars: ✭ 642 (+379.1%)
ChainerA flexible framework of neural networks for deep learning
Stars: ✭ 5,656 (+4120.9%)
Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
Stars: ✭ 761 (+467.91%)
SincnetSincNet is a neural architecture for efficiently processing raw audio samples.
Stars: ✭ 764 (+470.15%)
Cnn ModelsImageNet pre-trained models with batch normalization for the Caffe framework
Stars: ✭ 355 (+164.93%)
Neural Backed Decision TreesMaking decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Stars: ✭ 411 (+206.72%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (+143.28%)
MedicalzoopytorchA pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Stars: ✭ 546 (+307.46%)
LayerNeural network inference the Unix way
Stars: ✭ 539 (+302.24%)
JsnetJavascript/WebAssembly deep learning library for MLPs and convolutional neural networks
Stars: ✭ 126 (-5.97%)
Cs231Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 317 (+136.57%)
NeurecNext RecSys Library
Stars: ✭ 731 (+445.52%)
Vgg16 PytorchVGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
Stars: ✭ 26 (-80.6%)
Pytorch2kerasPyTorch to Keras model convertor
Stars: ✭ 676 (+404.48%)
Test TubePython library to easily log experiments and parallelize hyperparameter search for neural networks
Stars: ✭ 663 (+394.78%)
DeepmedicEfficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Stars: ✭ 809 (+503.73%)
ResnetTensorflow ResNet implementation on cifar10
Stars: ✭ 10 (-92.54%)
Traffic Sign ClassifierUdacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
Stars: ✭ 12 (-91.04%)
XnnpackHigh-efficiency floating-point neural network inference operators for mobile, server, and Web
Stars: ✭ 808 (+502.99%)
YannThis toolbox is support material for the book on CNN (http://www.convolution.network).
Stars: ✭ 41 (-69.4%)
Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Stars: ✭ 45 (-66.42%)
Convisualize nbVisualisations for Convolutional Neural Networks in Pytorch
Stars: ✭ 57 (-57.46%)
Deep RankingLearning 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
Stars: ✭ 64 (-52.24%)
Teacher Student TrainingThis 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.
Stars: ✭ 34 (-74.63%)
Gluon2pytorchGluon to PyTorch deep neural network model converter
Stars: ✭ 70 (-47.76%)
Graph 2d cnnCode and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
Stars: ✭ 67 (-50%)
BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
Stars: ✭ 84 (-37.31%)
Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
Stars: ✭ 85 (-36.57%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-23.13%)
SeranetSuper Resolution of picture images using deep learning
Stars: ✭ 79 (-41.04%)
Neural ApiCAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Stars: ✭ 94 (-29.85%)
Numpy MlMachine learning, in numpy
Stars: ✭ 11,100 (+8183.58%)
Segmentation modelsSegmentation models with pretrained backbones. Keras and TensorFlow Keras.
Stars: ✭ 3,575 (+2567.91%)