🔥 Trending Repository: PentestGPT
📝 Description: A GPT-empowered penetration testing tool
🔗 Repository URL: https://github.com/GreyDGL/PentestGPT
📖 Readme: https://github.com/GreyDGL/PentestGPT#readme
📊 Statistics:
🌟 Stars: 9.4K stars
👀 Watchers: 163
🍴 Forks: 1.4K forks
💻 Programming Languages: Python - HTML - Shell - Makefile - Dockerfile
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🧠 By: https://xn--r1a.website/DataScienceM
📝 Description: A GPT-empowered penetration testing tool
🔗 Repository URL: https://github.com/GreyDGL/PentestGPT
📖 Readme: https://github.com/GreyDGL/PentestGPT#readme
📊 Statistics:
🌟 Stars: 9.4K stars
👀 Watchers: 163
🍴 Forks: 1.4K forks
💻 Programming Languages: Python - HTML - Shell - Makefile - Dockerfile
🏷️ Related Topics:
#python #penetration_testing #large_language_models #llm
==================================
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🔥 Trending Repository: langextract
📝 Description: A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
🔗 Repository URL: https://github.com/google/langextract
🌐 Website: https://pypi.org/project/langextract/
📖 Readme: https://github.com/google/langextract#readme
📊 Statistics:
🌟 Stars: 18K stars
👀 Watchers: 94
🍴 Forks: 1.3K forks
💻 Programming Languages: Python
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🧠 By: https://xn--r1a.website/DataScienceM
📝 Description: A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
🔗 Repository URL: https://github.com/google/langextract
🌐 Website: https://pypi.org/project/langextract/
📖 Readme: https://github.com/google/langextract#readme
📊 Statistics:
🌟 Stars: 18K stars
👀 Watchers: 94
🍴 Forks: 1.3K forks
💻 Programming Languages: Python
🏷️ Related Topics:
#python #nlp #gemini #structured_data #gemini_api #information_extration #large_language_models #llm #gemini_pro #gemini_ai #gemini_flash
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🔥 Trending Repository: VideoRAG
📝 Description: [KDD'2026] "VideoRAG: Chat with Your Videos"
🔗 Repository URL: https://github.com/HKUDS/VideoRAG
🌐 Website: https://arxiv.org/abs/2502.01549
📖 Readme: https://github.com/HKUDS/VideoRAG#readme
📊 Statistics:
🌟 Stars: 1.9K stars
👀 Watchers: 44
🍴 Forks: 283 forks
💻 Programming Languages: Python - TypeScript - CSS - Jupyter Notebook - HTML - Shell - JavaScript
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🧠 By: https://xn--r1a.website/DataScienceM
📝 Description: [KDD'2026] "VideoRAG: Chat with Your Videos"
🔗 Repository URL: https://github.com/HKUDS/VideoRAG
🌐 Website: https://arxiv.org/abs/2502.01549
📖 Readme: https://github.com/HKUDS/VideoRAG#readme
📊 Statistics:
🌟 Stars: 1.9K stars
👀 Watchers: 44
🍴 Forks: 283 forks
💻 Programming Languages: Python - TypeScript - CSS - Jupyter Notebook - HTML - Shell - JavaScript
🏷️ Related Topics:
#rag #large_language_models #llms #long_video_understanding #retrieval_augmented_generation #multi_modal_llms
==================================
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🔥 Trending Repository: FinRobot
📝 Description: FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
🔗 Repository URL: https://github.com/AI4Finance-Foundation/FinRobot
🌐 Website: https://finrobot.ai
📖 Readme: https://github.com/AI4Finance-Foundation/FinRobot#readme
📊 Statistics:
🌟 Stars: 5K stars
👀 Watchers: 73
🍴 Forks: 925 forks
💻 Programming Languages: Jupyter Notebook - Python
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🧠 By: https://xn--r1a.website/DataScienceM
📝 Description: FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀
🔗 Repository URL: https://github.com/AI4Finance-Foundation/FinRobot
🌐 Website: https://finrobot.ai
📖 Readme: https://github.com/AI4Finance-Foundation/FinRobot#readme
📊 Statistics:
🌟 Stars: 5K stars
👀 Watchers: 73
🍴 Forks: 925 forks
💻 Programming Languages: Jupyter Notebook - Python
🏷️ Related Topics:
#finance #multimodal_deep_learning #robo_advisor #large_language_models #prompt_engineering #chatgpt #fingpt #aiagent
==================================
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🔥 Trending Repository: Megatron-LM
📝 Description: Ongoing research training transformer models at scale
🔗 Repository URL: https://github.com/NVIDIA/Megatron-LM
🌐 Website: https://docs.nvidia.com/megatron-core/developer-guide/latest/get-started/quickstart.html
📖 Readme: https://github.com/NVIDIA/Megatron-LM#readme
📊 Statistics:
🌟 Stars: 15.3K stars
👀 Watchers: 174
🍴 Forks: 3.6K forks
💻 Programming Languages: Python
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🧠 By: https://xn--r1a.website/DataScienceM
📝 Description: Ongoing research training transformer models at scale
🔗 Repository URL: https://github.com/NVIDIA/Megatron-LM
🌐 Website: https://docs.nvidia.com/megatron-core/developer-guide/latest/get-started/quickstart.html
📖 Readme: https://github.com/NVIDIA/Megatron-LM#readme
📊 Statistics:
🌟 Stars: 15.3K stars
👀 Watchers: 174
🍴 Forks: 3.6K forks
💻 Programming Languages: Python
🏷️ Related Topics:
#transformers #model_para #large_language_models
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🔥 Trending Repository: agentscope
📝 Description: Build and run agents you can see, understand and trust.
🔗 Repository URL: https://github.com/agentscope-ai/agentscope
🌐 Website: https://doc.agentscope.io/
📖 Readme: https://github.com/agentscope-ai/agentscope#readme
📊 Statistics:
🌟 Stars: 16.8K stars
👀 Watchers: 95
🍴 Forks: 1.5K forks
💻 Programming Languages: Python
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📝 Description: Build and run agents you can see, understand and trust.
🔗 Repository URL: https://github.com/agentscope-ai/agentscope
🌐 Website: https://doc.agentscope.io/
📖 Readme: https://github.com/agentscope-ai/agentscope#readme
📊 Statistics:
🌟 Stars: 16.8K stars
👀 Watchers: 95
🍴 Forks: 1.5K forks
💻 Programming Languages: Python
🏷️ Related Topics:
#agent #mcp #chatbot #multi_agent #multi_modal #large_language_models #llm #llm_agent #react_agent
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🔥 Trending Repository: generative-ai
📝 Description: Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
🔗 Repository URL: https://github.com/GoogleCloudPlatform/generative-ai
🌐 Website: https://cloud.google.com/vertex-ai/docs/generative-ai/learn/overview
📖 Readme: https://github.com/GoogleCloudPlatform/generative-ai#readme
📊 Statistics:
🌟 Stars: 13.2k
👀 Watchers: 252
🍴 Forks: 3.8k
💻 Programming Languages: Jupyter Notebook - Python - TypeScript - SCSS - JavaScript - HTML
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🧠 By: https://xn--r1a.website/DataScienceM
📝 Description: Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
🔗 Repository URL: https://github.com/GoogleCloudPlatform/generative-ai
🌐 Website: https://cloud.google.com/vertex-ai/docs/generative-ai/learn/overview
📖 Readme: https://github.com/GoogleCloudPlatform/generative-ai#readme
📊 Statistics:
🌟 Stars: 13.2k
👀 Watchers: 252
🍴 Forks: 3.8k
💻 Programming Languages: Jupyter Notebook - Python - TypeScript - SCSS - JavaScript - HTML
🏷️ Related Topics:
#google #gcp #google_cloud #gemini #agents #gemini_api #vertex_ai #vertexai #large_language_models #llm #generative_ai #langchain #gen_ai #google_gemini #vertex_ai_gemini_api
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🧠 By: https://xn--r1a.website/DataScienceM
🔥 Trending Repository: awesome-multimodal-in-medical-imaging
📝 Description: A collection of resources on applications of multi-modal learning in medical imaging.
🔗 Repository URL: https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging
📖 Readme: https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging#readme
📊 Statistics:
🌟 Stars: 937
👀 Watchers: 22
🍴 Forks: 80
💻 Programming Languages: Not available
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🧠 By: https://xn--r1a.website/DataScienceN
📝 Description: A collection of resources on applications of multi-modal learning in medical imaging.
🔗 Repository URL: https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging
📖 Readme: https://github.com/richard-peng-xia/awesome-multimodal-in-medical-imaging#readme
📊 Statistics:
🌟 Stars: 937
👀 Watchers: 22
🍴 Forks: 80
💻 Programming Languages: Not available
🏷️ Related Topics:
#medical_imaging #multimodal_learning #visual_question_answering #multimodal_deep_learning #large_language_models #medical_report_generation #multimodal_large_language_models #large_multimodal_models
==================================
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🔥 Trending Repository: DeepTutor
📝 Description: "DeepTutor: Agent-Native Personalized Learning Assistant"
🔗 Repository URL: https://github.com/HKUDS/DeepTutor
📖 Readme: https://github.com/HKUDS/DeepTutor#readme
📊 Statistics:
🌟 Stars: give us a star
👀 Watchers: 89
🍴 Forks: 1.6k
💻 Programming Languages: Python - TypeScript - JavaScript - Dockerfile - CSS - Shell - HTML
🏷️ Related Topics:
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🧠 By: https://xn--r1a.website/DataScienceM
📝 Description: "DeepTutor: Agent-Native Personalized Learning Assistant"
🔗 Repository URL: https://github.com/HKUDS/DeepTutor
📖 Readme: https://github.com/HKUDS/DeepTutor#readme
📊 Statistics:
🌟 Stars: give us a star
👀 Watchers: 89
🍴 Forks: 1.6k
💻 Programming Languages: Python - TypeScript - JavaScript - Dockerfile - CSS - Shell - HTML
🏷️ Related Topics:
#interactive_learning #multi_agent_systems #ai_agents #cli_tool #rag #large_language_models #ai_tutor #deepresearch #clawdbot
==================================
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🔥 Trending Repository: langfuse
📝 Description: 🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
🔗 Repository URL: https://github.com/langfuse/langfuse
🌐 Website: https://langfuse.com/docs
📖 Readme: https://github.com/langfuse/langfuse#readme
📊 Statistics:
🌟 Stars: 25.3k
👀 Watchers: 87
🍴 Forks: 2.6k
💻 Programming Languages: TypeScript
🏷️ Related Topics:
==================================
🧠 By: https://xn--r1a.website/DataScienceM
📝 Description: 🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
🔗 Repository URL: https://github.com/langfuse/langfuse
🌐 Website: https://langfuse.com/docs
📖 Readme: https://github.com/langfuse/langfuse#readme
📊 Statistics:
🌟 Stars: 25.3k
👀 Watchers: 87
🍴 Forks: 2.6k
💻 Programming Languages: TypeScript
🏷️ Related Topics:
#open_source #playground #monitoring #analytics #evaluation #self_hosted #ycombinator #openai #observability #autogen #large_language_models #llm #prompt_engineering #langchain #llmops #llama_index #prompt_management #llm_evaluation #llm_observability
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