Forwarded from Machine Learning with Python
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We're sharing a cool resource for learning about neural networks, offering clear, step-by-step instruction with dynamic visualizations and easy-to-understand explanations.
In addition, you'll find many other useful materials on machine learning on the site.
Find and use it — https://mlu-explain.github.io/neural-networks/
tags: #AI #ML #PYTHON
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🔥 Trending Repository: RAG_Techniques
📝 Description: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
🔗 Repository URL: https://github.com/NirDiamant/RAG_Techniques
📖 Readme: https://github.com/NirDiamant/RAG_Techniques#readme
📊 Statistics:
🌟 Stars: 25K stars
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💻 Programming Languages: Jupyter Notebook - Python
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🧠 By: https://t.me/DataScienceM
📝 Description: This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.
🔗 Repository URL: https://github.com/NirDiamant/RAG_Techniques
📖 Readme: https://github.com/NirDiamant/RAG_Techniques#readme
📊 Statistics:
🌟 Stars: 25K stars
👀 Watchers: 243
🍴 Forks: 2.9K forks
💻 Programming Languages: Jupyter Notebook - Python
🏷️ Related Topics:
#python #ai #tutorials #rag #llm #llms #langchain #llama_index #opeani
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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: composio
📝 Description: Composio equips your AI agents & LLMs with 100+ high-quality integrations via function calling
🔗 Repository URL: https://github.com/ComposioHQ/composio
🌐 Website: https://docs.composio.dev
📖 Readme: https://github.com/ComposioHQ/composio#readme
📊 Statistics:
🌟 Stars: 26.6K stars
👀 Watchers: 61
🍴 Forks: 4.4K forks
💻 Programming Languages: TypeScript - Python - MDX - Shell - JavaScript - CSS
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🧠 By: https://t.me/DataScienceM
📝 Description: Composio equips your AI agents & LLMs with 100+ high-quality integrations via function calling
🔗 Repository URL: https://github.com/ComposioHQ/composio
🌐 Website: https://docs.composio.dev
📖 Readme: https://github.com/ComposioHQ/composio#readme
📊 Statistics:
🌟 Stars: 26.6K stars
👀 Watchers: 61
🍴 Forks: 4.4K forks
💻 Programming Languages: TypeScript - Python - MDX - Shell - JavaScript - CSS
🏷️ Related Topics:
#javascript #python #typescript #ai #js #mcp #sse #developer_tools #agents #ai_agents #gpt_4 #llm #llmops #function_calling #aiagents #agentic_ai #remote_mcp_server
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🧠 By: https://t.me/DataScienceM
🔥 Trending Repository: posthog
📝 Description: 🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.
🔗 Repository URL: https://github.com/PostHog/posthog
🌐 Website: https://posthog.com
📖 Readme: https://github.com/PostHog/posthog#readme
📊 Statistics:
🌟 Stars: 31.3K stars
👀 Watchers: 122
🍴 Forks: 2.3K forks
💻 Programming Languages: Python - TypeScript - Rust - JavaScript - C++ - SCSS
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🧠 By: https://t.me/DataScienceM
📝 Description: 🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.
🔗 Repository URL: https://github.com/PostHog/posthog
🌐 Website: https://posthog.com
📖 Readme: https://github.com/PostHog/posthog#readme
📊 Statistics:
🌟 Stars: 31.3K stars
👀 Watchers: 122
🍴 Forks: 2.3K forks
💻 Programming Languages: Python - TypeScript - Rust - JavaScript - C++ - SCSS
🏷️ Related Topics:
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🧠 By: https://t.me/DataScienceM