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RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data
Finetune Llama 3.2, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 80% less memory
LlamaIndex is a data framework for your LLM applications
A curated list of popular Datasets, Models and Papers for LLMs in Medical/Healthcare
Code for "Retrieve, Reason, and Refine: Generating Accurate and Faithful Discharge/Patient Instructions" (NeurIPS 2022)
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
🔥Highlighting the top ML papers every week.
This project proposes a new architecture for multi-scanner generalization in MRI segmentation
Use ChatGPT On Wechat via wechaty
Aligning pretrained language models with instruction data generated by themselves.
PyTorch code and models for the DINOv2 self-supervised learning method.
Code and documentation to train Stanford's Alpaca models, and generate the data.
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
Visual Med-Alpaca is an open-source, multi-modal foundation model designed specifically for the biomedical domain, built on the LLaMa-7B.
Affordable Diabetic Retinopathy Detection
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Formal Quantification of over-smoothing problem in Graph Nerual Networks with investigation into the impact of aggregation methods on over-smoothing