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.
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...