Machine learning, in numpy

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

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

Tensorflow Faster RCNN for Object Detection

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

ResNeSt: Split-Attention Networks

DeepLab v3+ model in PyTorch. Support different backbones.

Pretrained Pytorch face detection (MTCNN) and recognition (InceptionResnet) models

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

Residual networks implementation using Keras-1.0 functional API

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)

🙄 Difficult algorithm, simple code.

Classification with PyTorch.

High level network definitions with pre-trained weights in TensorFlow

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Classification models trained on ImageNet. Keras.

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! Training with TensorFlow has never been so easy.

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Visual Question Answering in Pytorch

Implementation of popular deep learning networks with TensorRT network definition APIs

PyTorch to Keras model convertor

猫狗大战

A collection of deep learning tutorials using Tensorflow and Python

PyTorch implementation of CNNs for CIFAR benchmark

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

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

R2CNN: Rotational Region CNN Based on FPN (Tensorflow)

A Tensorflow implementation of FPN detection framework.