1267 Open source projects that are alternatives of or similar to pytorch2keras

PyTorch to Keras model convertor

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Gluon to PyTorch deep neural network model converter

Gluon to PyTorch deep neural network model converter

15+ Machine/Deep Learning Projects in Ipython Notebooks

Self driving car in GTAV with Deep Learning

Distributed Keras Engine, Make Keras faster with only one line of code.

A collection of Audio and Speech pre-trained models.

Classification models trained on ImageNet. Keras.

Classification with PyTorch.

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

Serving a keras model (neural networks) in a website with the python Django-REST framework.

A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.

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)

Keras implementation of a ResNet-CAM model

Deep Learning using Rectified Linear Units (ReLU)

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

OpenMMLab Image Classification Toolbox and Benchmark

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

Adaptive Real-Time Object Detection System with HOG and CNN Features

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

Draws an emoji on your face! Powered by Nuxt.js, Tensorflow.js and Posenet

Training examples and results for ImageNet(ILSVRC2012)/CIFAR100/COCO2017/VOC2007+VOC2012 datasets.Image Classification/Object Detection.Include ResNet/EfficientNet/VovNet/DarkNet/RegNet/RetinaNet/FCOS/CenterNet/YOLOv3.

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

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

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

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. The repository combines a class agnostic object localizer to first detect the objects in the image, and next a ResNet50 model trained on ImageNet is used to label each box.

train resnet on imagenet from scratch with caffe

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

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A Caffe Re-Implementation of SENet

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

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

Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

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

Scripts to work with LMDB + PyTorch for Imagenet training

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

Deep Learning Stock Volatility with Google Domestic Trends: https://arxiv.org/pdf/1512.04916.pdf

Stocktwits market sentiment analysis in Python with Keras and TensorFlow.

babble-rnn is a research project in the use of machine learning to generate new speech by modelling human speech audio, without any intermediate text or word representations. The idea is to learn to speak through imitation, much like a baby might.

用python做计算机视觉，人工智能，机器学习，深度学习等

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

A collection of deep learning models (PyTorch implemtation)

深度学习相关代码

Hands on Imagenet training. Unofficial ModelZoo project on Pytorch. MobileNetV3 Top1 75.64🌟 GhostNet1.3x 75.78🌟

Extending Keras to support tfrecord dataset

Recognize Digits using Deep Neural Networks in Google Chrome live!

Various CNN models for CIFAR10 with Chainer

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)