There are 17 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
Effortless data labeling with AI support from Segment Anything and other awesome models.
Tools to Design or Visualize Architecture of Neural Network
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
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)
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
OpenMMLab Pre-training Toolbox and Benchmark
Tensorflow Faster RCNN for Object Detection
ResNeSt: Split-Attention Networks
校招、秋招、春招、实习好项目!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
DeepLab v3+ model in PyTorch. Support different backbones.
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
Classification with PyTorch.
🙄 Difficult algorithm, Simple code.
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
Residual networks implementation using Keras-1.0 functional API
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
Classification models trained on ImageNet. Keras.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
High level network definitions with pre-trained weights in TensorFlow
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)
PyTorch to Keras model convertor
This is a code repository for pytorch c++ (or libtorch) tutorial.
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