Jupyter Notebook
Browse 14 Hugging Bay artifacts for Jupyter Notebook, including 0 Hugging Face imports and 0 hosted files.
- pathwaycom/llm-app Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
- datawhalechina/self-llm 《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
- handsonllm/hands-on-large-language-models Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
- luhengshiwo/llmforeverybody 每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
- tatsu-lab/alpaca-eval An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
- grumpyzhou/image-matching-toolbox This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.
- cas-siat-xinhai/cpsycoun [ACL 2024] CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
- rungalileo/agent-leaderboard Ranking LLMs on agentic tasks
- chongminggao/kuairec KwaiRec: A Fully-observed Dataset for Recommender Systems.
- internscience/researchclawbench 🦞 ResearchClawBench: Evaluating AI Agents for Automated Research from Re-Discovery to New-Discovery
- mulab-mir/song-describer-dataset The Song Describer dataset is an evaluation dataset made of ~1.1k captions for 706 permissively licensed music recordings.
- j-min/dalleval DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models (ICCV 2023)
- bentoml/clip-api-service CLIP as a service - Embed image and sentences, object recognition, visual reasoning, image classification and reverse image search
- shaheennabi/production-ready-instruction-finetuning-of-meta-llama-3.2-3b-instruct-project Instruction Fine-Tuning of Meta Llama 3.2-3B Instruct on Kannada Conversations. Tailoring the model to follow specific instructions in Kannada, enhancing its ability to generate relevant, context-aware responses based on
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