Data Science Jupyter Notebooks
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Explore the world of Data Science through Jupyter Notebooksβ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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πŸ”₯ Trending Repository: llm-app

πŸ“ Description: 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.

πŸ”— Repository URL: https://github.com/pathwaycom/llm-app

🌐 Website: https://pathway.com/developers/templates/

πŸ“– Readme: https://github.com/pathwaycom/llm-app#readme

πŸ“Š Statistics:
🌟 Stars: 35.3K stars
πŸ‘€ Watchers: 62
🍴 Forks: 943 forks

πŸ’» Programming Languages: Jupyter Notebook

🏷️ Related Topics:
#machine_learning #real_time #chatbot #pathway #open_ai #rag #vector_database #hugging_face #llm #llmops #vector_index #llm_prompting #llm_security #llm_local #retrieval_augmented_generation


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: haystack

πŸ“ Description: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

πŸ”— Repository URL: https://github.com/deepset-ai/haystack

🌐 Website: https://haystack.deepset.ai

πŸ“– Readme: https://github.com/deepset-ai/haystack#readme

πŸ“Š Statistics:
🌟 Stars: 22.3K stars
πŸ‘€ Watchers: 158
🍴 Forks: 2.3K forks

πŸ’» Programming Languages: Python - HTML

🏷️ Related Topics:
#python #nlp #agent #machine_learning #information_retrieval #ai #transformers #orchestration #pytorch #gemini #question_answering #summarization #agents #semantic_search #rag #gpt_4 #large_language_models #llm #generative_ai #retrieval_augmented_generation


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: RAG-Anything

πŸ“ Description: "RAG-Anything: All-in-One RAG Framework"

πŸ”— Repository URL: https://github.com/HKUDS/RAG-Anything

πŸ“– Readme: https://github.com/HKUDS/RAG-Anything#readme

πŸ“Š Statistics:
🌟 Stars: 5.4K stars
πŸ‘€ Watchers: 41
🍴 Forks: 645 forks

πŸ’» Programming Languages: Python

🏷️ Related Topics:
#retrieval_augmented_generation #multi_modal_rag


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: memvid

πŸ“ Description: Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.

πŸ”— Repository URL: https://github.com/Olow304/memvid

🌐 Website: https://www.memvid.com

πŸ“– Readme: https://github.com/Olow304/memvid#readme

πŸ“Š Statistics:
🌟 Stars: 8.7K stars
πŸ‘€ Watchers: 61
🍴 Forks: 741 forks

πŸ’» Programming Languages: Python - Makefile - Shell - Dockerfile

🏷️ Related Topics:
#python #nlp #opencv #machine_learning #embedded #ai #offline_first #memory #context #knowledge_graph #video_processing #knowledge_base #semantic_search #faiss #rag #vector_database #llm #retrieval_augmented_generation


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🧠 By: https://t.iss.one/DataScienceM
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πŸ”₯ Trending Repository: Agent-S

πŸ“ Description: Agent S: an open agentic framework that uses computers like a human

πŸ”— Repository URL: https://github.com/simular-ai/Agent-S

🌐 Website: https://www.simular.ai

πŸ“– Readme: https://github.com/simular-ai/Agent-S#readme

πŸ“Š Statistics:
🌟 Stars: 6.4K stars
πŸ‘€ Watchers: 62
🍴 Forks: 706 forks

πŸ’» Programming Languages: Python - Shell

🏷️ Related Topics:
#memory #planning #cua #ai_agents #grounding #computer_automation #mllm #retrieval_augmented_generation #in_context_reinforcement_learning #agent_computer_interface #gui_agents #computer_use #computer_use_agent


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🧠 By: https://t.iss.one/DataScienceM