There are 10 repositories under resnet topic.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Machine learning, in numpy
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Implementation of popular deep learning networks with TensorRT network definition API
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）
Tensorflow Faster RCNN for Object Detection
ResNeSt: Split-Attention Networks
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
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)
Tools to Design or Visualize Architecture of Neural Network
DeepLab v3+ model in PyTorch. Support different backbones.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
🙄 Difficult algorithm, Simple code.
Classification with PyTorch.
Residual networks implementation using Keras-1.0 functional API
OpenMMLab Image Classification Toolbox and Benchmark
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
Classification models trained on ImageNet. Keras.
High level network definitions with pre-trained weights in TensorFlow
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
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! NoCode training with TensorFlow has never been so easy.
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
PyTorch to Keras model convertor
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Visual Question Answering in Pytorch
PyTorch implementation of CNNs for CIFAR benchmark
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
A collection of deep learning tutorials using Tensorflow and Python
🏞 A content-based image retrieval (CBIR) system
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).