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RAGChecker: A Fine-grained Framework For Diagnosing RAG
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型，实现了包括LLaMA，ChatGLM，BLOOM，GPT2，Seq2Seq，BART，T5，UDA等模型的训练和预测，开箱即用。
Runs checks to see if an EKS cluster follows EKS Best Practices.
[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
OpenAI-Compatible RESTful APIs for Amazon Bedrock
Interactive lessons in bioinformatics.
An LLM-based Agent for the New Automation Paradigm - Agentic Process Automation
A efficient and effective few-shot NL2SQL method on GPT-4.
Open-source bioinformatics components for Dash
🚀WebUI integrated platform for latest LLMs | 各大语言模型的全流程工具 WebUI 整合包。支持主流大模型API接口和开源模型。支持知识库，数据库，角色扮演，mj文生图，LoRA和全参数微调，数据集制作，live2d等全流程应用工具
Official repository for Diffused Heads: Diffusion Models Beat GANs on Talking-Face Generation
羊了个羊 + 深度强化学习（Deep Reinforcement Learning + 3 Tiles Game)
Framework for building custom learning components that run in the Open edX LMS!
ATLAS - Three commands to start analyzing your metagenome data
CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models
The Pytorch implementation of RESDSQL (AAAI 2023).
Browser mining on any pool using CoinHive.js library
FlowCraft: a component-based pipeline composer for omics analysis using Nextflow. 🐳📦
SQLAlchemy data layer for Eve-powered RESTful APIs
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
[THIS REPO IS DEPRECATED] see newer repos: https://github.com/broadinstitute/viral-core https://github.com/broadinstitute/viral-assemble https://github.com/broadinstitute/viral-phylo https://github…
Machine Learning APIs for common use cases, include: General OCR (Simplified/Traditional Chinese), Custom OCR, Image Similarity, Object Recognition, Face Detection, Face Comparison, Human Image Seg…
a semi-structure representation of database schema
A solution guidance for Generative BI using Amazon Bedrock, Amazon OpenSearch with RAG