6590 Open source projects that are alternatives of or similar to Keras Idiomatic Programmer

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

High level network definitions with pre-trained weights in TensorFlow

Classification models trained on ImageNet. Keras.

猫狗大战

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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)

记录每一个常用的深度模型结构的特点（图和代码）

用python做计算机视觉，人工智能，机器学习，深度学习等

PyTorch implementation of DeepDream algorithm

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

No description or website provided.

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

Various CNN models for CIFAR10 with Chainer

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

Speech commands recognition with PyTorch

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

OpenMMLab Image Classification Toolbox and Benchmark

PyTorch implementation of CNNs for CIFAR benchmark

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

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)

Classification with PyTorch.

Implementation of popular deep learning networks with TensorRT network definition API

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

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🌟

我的笔记和Demo，包含分类，检测、分割、知识蒸馏。

Gluon to PyTorch deep neural network model converter

practice on CIFAR10 with Keras

medium blog supplementaries | Backprop | Resnet & ResNext | RNN |

Computer vision library for wildfire detection

PyTorch to Keras model convertor

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

TensorFlow implementation of Faster RCNN for Object Detection

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Примеры для курса "Программирование глубоких нейронных сетей на Python"

tensorflow implementation of Grad-CAM (CNN visualization)

Introduction to Deep Neural Networks with Keras and Tensorflow

Simple tutorials using Keras Framework

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

The AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

This is a code repository for pytorch c++ (or libtorch) tutorial.

Inflated 3D ConvNets for video understanding

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

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

Fast and flexible AutoML with learning guarantees.

Tensorflow Faster RCNN for Object Detection

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

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

Google Brain AutoML

Reproduces ResNet-V3 with pytorch

food image to recipe with deep convolutional neural networks.

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Efficient Learning of Augmentation Policy Schedules

[ISBI'21] MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

♾A curated list of papers and code about very deep neural networks

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.