There are 16 repositories under resnet topic.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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.
Low-code development tool based on PaddlePaddle(飞桨低代码开发工具)
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
Tools to Design or Visualize Architecture of Neural Network
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)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Tensorflow Faster RCNN for Object Detection
OpenMMLab Pre-training Toolbox and Benchmark
ResNeSt: Split-Attention Networks
Effortless data labeling with AI support from Segment Anything and other awesome models.
DeepLab v3+ model in PyTorch. Support different backbones.
带你从零实现一个高性能的深度学习推理库,支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library step by step
🙄 Difficult algorithm, Simple code.
Classification with PyTorch.
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
Residual networks implementation using Keras-1.0 functional API
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
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
Classification models trained on ImageNet. Keras.
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
High level network definitions with pre-trained weights in TensorFlow
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.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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
Visual Question Answering in Pytorch