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A curated list of pretrained sentence and word embedding models

Localized Multimodal Large Language Model (MLLM) integrated with Streamlit and Ollama for text and image processing tasks.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

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

RepVGG: Making VGG-style ConvNets Great Again

MobileOne: An Improved One millisecond Mobile Backbone

This ai aims to find the Yoshi in a photo from a pre trained model

🤗 neukit: web application for automatic brain extraction and preoperative tumor segmentation from MRI

ViPubmedDeBERTa: A Pre-trained Model for Vietnamese Biomedical Text (PACLIC 2023)

Pytorch implementation of Noisy Student Training for Automatic Speech Recognition and Automatic Pronunciation Error Detection problem

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 machine learning applications.

pretrained models and a training code for sentencepiece

使用自己的tokenizer继续预训练大语言模型。

Masking utility that utilizes "Segment Anything Model" from Meta AI

DenseCL + regionCL-D

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.

Code and data for the paper "Pretrained Language Models are Symbolic Mathematics Solvers too!", arXiv:2110.03501

Extract features and bounding boxes using the original Bottom-up Attention Faster-RCNN in a few lines of Python code

NAVER에서 연재되고 있는 웹툰의 그림체 시각화