1212 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

A collection of Audio and Speech pre-trained models.

Classification with PyTorch.

Keras implementation of a ResNet-CAM model

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)

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

Classification models trained on ImageNet. Keras.

Speech commands recognition with PyTorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

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

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

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

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.

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

Scripts to work with LMDB + PyTorch for Imagenet training

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

15+ Machine/Deep Learning Projects in Ipython Notebooks

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

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

ASR with PyTorch

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

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

PyTorch implementation of CNNs for CIFAR benchmark

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)

Various CNN models for CIFAR10 with Chainer

A Caffe Re-Implementation of SENet

train resnet on imagenet from scratch with caffe

OpenMMLab Image Classification Toolbox and Benchmark

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

Self driving car in GTAV with Deep Learning

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

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

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

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

Extending Keras to support tfrecord dataset

Deep Learning using Rectified Linear Units (ReLU)

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)

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

Computer vision library for wildfire detection

No description or website provided.

RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.

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.

tensorflow implementation of Grad-CAM (CNN visualization)

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

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

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

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

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

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

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

Tools to Design or Visualize Architecture of Neural Network

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