pretrained

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

#下载器#A collection of pre-trained, state-of-the-art models in the ONNX format

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

#Awesome#A collection of computer vision pre-trained models.

#计算机科学#Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model

#计算机科学#Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

#自然语言处理#中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

PyTorch implementation of the CVPR 2019 paper “Pyramid Feature Attention Network for Saliency Detection”

PyTorch implementation of Darknet53

C++ trainable detection library based on libtorch (or pytorch c++). Yolov4 tiny provided now.

Pretrained SimCLRv2 models in Pytorch

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

#计算机科学#Pytorch implementation of Noisy Student Training for Automatic Speech Recognition and Automatic Pronunciation Error Detection problem

Image Synthesis + Corgis = <3

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

#计算机科学#This is an Image Super Resolution model implemented in python using keras. This model comes with a GUI to allow users to make use of the model easily.

自监督目标检测。针对目标检测任务，提出无需标签数据的自监督算法预训练 backbone，检测性能优于有标签的预训练。

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

#计算机科学#DenseCL + regionCL-D

This GitHub repository contains converted models in ONNX, TensorRT, and PyTorch formats, along with inference scripts and demos. These models can be used for efficient deployment and inference in mach...