A collection of pre-trained, state-of-the-art models in the ONNX format
-
Updated
Sep 1, 2026 - Jupyter Notebook
A collection of pre-trained, state-of-the-art models in the ONNX format
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A collection of computer vision pre-trained models.
Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model
Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
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)
Pytorch implementation of Noisy Student Training for Automatic Speech Recognition and Automatic Pronunciation Error Detection problem
Image Synthesis + Corgis = <3
World's First Autonomous Open-source Pretrained AI Employees Platform
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.
DenseCL + regionCL-D
Xception V1 model in Tensorflow with pretrained weights on ImageNet
To associate your repository with the pretrained topic, visit your repo's landing page and select "manage topics."