PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
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Updated
May 11, 2024 - Python
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Machine learning, in numpy
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)
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)
Tensorflow Faster RCNN for Object Detection
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
ResNeSt: Split-Attention Networks
OpenMMLab Pre-training Toolbox and Benchmark
DeepLab v3+ model in PyTorch. Support different backbones.
Effortless data labeling with AI support from Segment Anything and other awesome models.
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.
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Residual networks implementation using Keras-1.0 functional API
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