Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

 Now we have become very big, Different from the original idea. Collect premium software in various categories.

A high-throughput and memory-efficient inference and serving engine for LLMs

OCR, layout analysis, reading order, table recognition in 90+ languages

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Effortless data labeling with AI support from Segment Anything and other awesome models.

PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama/OpenAI 等服务，提供 CLI/GUI/Docker

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Open-source and strong foundation image recognition models.

This is the implementation of the CDGPT2 model mentioned in our paper 'Automated Radiology Report Generation using Conditioned Transformers'

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to ex…

PyTorch Implementation of BioBERT

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.