Autoencoder by Hand ✍️
The autoencoder model is the basis for training foundational models from a ton of data. We are talking about tens of billions of training examples, like a good portion of the Internet.
With that much data, it is not economically feasible to hire humans to label all of those data to tell a model what its targets are. Thus, people came up with many clever ideas to derive training targets from the training examples themselves [auto]matically.
The most straightforward idea is to just use the training data itself as the targets. This hands-on exercise demonstrates this idea.
more: https://www.byhand.ai/p/13-can-you-calculate-an-autoencoder
https://t.iss.one/DataScienceM😱
The autoencoder model is the basis for training foundational models from a ton of data. We are talking about tens of billions of training examples, like a good portion of the Internet.
With that much data, it is not economically feasible to hire humans to label all of those data to tell a model what its targets are. Thus, people came up with many clever ideas to derive training targets from the training examples themselves [auto]matically.
The most straightforward idea is to just use the training data itself as the targets. This hands-on exercise demonstrates this idea.
more: https://www.byhand.ai/p/13-can-you-calculate-an-autoencoder
https://t.iss.one/DataScienceM
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❤2
Graph Convolutional Network (GCN) by Hand
Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, have emerged as a powerful tool in the analysis and interpretation of data structured as graphs.
More: https://www.byhand.ai/p/17-can-you-calculate-a-graph-convolutional
Graph Convolutional Networks (GCNs), introduced by Thomas Kipf and Max Welling in 2017, have emerged as a powerful tool in the analysis and interpretation of data structured as graphs.
More: https://www.byhand.ai/p/17-can-you-calculate-a-graph-convolutional
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📝 Description: Beta release of Archon OS - the knowledge and task management backbone for AI coding assistants.
🔗 Repository URL: https://github.com/coleam00/Archon
📖 Readme: https://github.com/coleam00/Archon#readme
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💻 Programming Languages: Python - TypeScript - PLpgSQL - CSS - Dockerfile - JavaScript
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Beta release of Archon OS - the knowledge and task management backbone for AI coding assistants.
🔗 Repository URL: https://github.com/coleam00/Archon
📖 Readme: https://github.com/coleam00/Archon#readme
📊 Statistics:
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👀 Watchers: 138
🍴 Forks: 1.3K forks
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==================================
🧠 By: https://t.iss.one/DataScienceM
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📝 Description: Prompt Orchestration Markup Language
🔗 Repository URL: https://github.com/microsoft/poml
🌐 Website: https://microsoft.github.io/poml/
📖 Readme: https://github.com/microsoft/poml#readme
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🧠 By: https://t.iss.one/DataScienceM
📝 Description: Prompt Orchestration Markup Language
🔗 Repository URL: https://github.com/microsoft/poml
🌐 Website: https://microsoft.github.io/poml/
📖 Readme: https://github.com/microsoft/poml#readme
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==================================
🧠 By: https://t.iss.one/DataScienceM
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📝 Description: Supercharge Your LLM with the Fastest KV Cache Layer
🔗 Repository URL: https://github.com/LMCache/LMCache
🌐 Website: https://lmcache.ai/
📖 Readme: https://github.com/LMCache/LMCache#readme
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🧠 By: https://t.iss.one/DataScienceM
📝 Description: Supercharge Your LLM with the Fastest KV Cache Layer
🔗 Repository URL: https://github.com/LMCache/LMCache
🌐 Website: https://lmcache.ai/
📖 Readme: https://github.com/LMCache/LMCache#readme
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🧠 By: https://t.iss.one/DataScienceM
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📝 Description: Master programming by recreating your favorite technologies from scratch.
🔗 Repository URL: https://github.com/codecrafters-io/build-your-own-x
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📖 Readme: https://github.com/codecrafters-io/build-your-own-x#readme
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🧠 By: https://t.iss.one/DataScienceM
📝 Description: Master programming by recreating your favorite technologies from scratch.
🔗 Repository URL: https://github.com/codecrafters-io/build-your-own-x
🌐 Website: https://codecrafters.io
📖 Readme: https://github.com/codecrafters-io/build-your-own-x#readme
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🧠 By: https://t.iss.one/DataScienceM
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📝 Description: This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
🔗 Repository URL: https://github.com/farhanashrafdev/90DaysOfCyberSecurity
📖 Readme: https://github.com/farhanashrafdev/90DaysOfCyberSecurity#readme
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🍴 Forks: 1.2K forks
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
🔗 Repository URL: https://github.com/farhanashrafdev/90DaysOfCyberSecurity
📖 Readme: https://github.com/farhanashrafdev/90DaysOfCyberSecurity#readme
📊 Statistics:
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🍴 Forks: 1.2K forks
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📝 Description: Now we have become very big, Different from the original idea. Collect premium software in various categories.
🔗 Repository URL: https://github.com/jaywcjlove/awesome-mac
🌐 Website: https://git.io/macx
📖 Readme: https://github.com/jaywcjlove/awesome-mac#readme
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💻 Programming Languages: JavaScript - Dockerfile
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🧠 By: https://t.iss.one/DataScienceM
📝 Description: Now we have become very big, Different from the original idea. Collect premium software in various categories.
🔗 Repository URL: https://github.com/jaywcjlove/awesome-mac
🌐 Website: https://git.io/macx
📖 Readme: https://github.com/jaywcjlove/awesome-mac#readme
📊 Statistics:
🌟 Stars: 86.8K stars
👀 Watchers: 1.5k
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Header only library for writing build recipes in C.
🔗 Repository URL: https://github.com/tsoding/nob.h
📖 Readme: https://github.com/tsoding/nob.h#readme
📊 Statistics:
🌟 Stars: 1.4K stars
👀 Watchers: 11
🍴 Forks: 90 forks
💻 Programming Languages: C
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🧠 By: https://t.iss.one/DataScienceM
❤1
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📝 Description: A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
🔗 Repository URL: https://github.com/IBM/mcp-context-forge
🌐 Website: https://ibm.github.io/mcp-context-forge/
📖 Readme: https://github.com/IBM/mcp-context-forge#readme
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🧠 By: https://t.iss.one/DataScienceM
📝 Description: A Model Context Protocol (MCP) Gateway & Registry. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE, Streamable HTTP).
🔗 Repository URL: https://github.com/IBM/mcp-context-forge
🌐 Website: https://ibm.github.io/mcp-context-forge/
📖 Readme: https://github.com/IBM/mcp-context-forge#readme
📊 Statistics:
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🍴 Forks: 184 forks
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🌐 Website: https://www.parlant.io
📖 Readme: https://github.com/emcie-co/parlant#readme
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: LLM agents built for control. Designed for real-world use. Deployed in minutes.
🔗 Repository URL: https://github.com/emcie-co/parlant
🌐 Website: https://www.parlant.io
📖 Readme: https://github.com/emcie-co/parlant#readme
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❤1
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📝 Description: PixiEditor is a Universal Editor for all your 2D needs
🔗 Repository URL: https://github.com/PixiEditor/PixiEditor
🌐 Website: https://pixieditor.net
📖 Readme: https://github.com/PixiEditor/PixiEditor#readme
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🍴 Forks: 140 forks
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: PixiEditor is a Universal Editor for all your 2D needs
🔗 Repository URL: https://github.com/PixiEditor/PixiEditor
🌐 Website: https://pixieditor.net
📖 Readme: https://github.com/PixiEditor/PixiEditor#readme
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🧠 By: https://t.iss.one/DataScienceM
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🔗 Repository URL: https://github.com/Shubhamsaboo/awesome-llm-apps
🌐 Website: https://www.theunwindai.com
📖 Readme: https://github.com/Shubhamsaboo/awesome-llm-apps#readme
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
🔗 Repository URL: https://github.com/Shubhamsaboo/awesome-llm-apps
🌐 Website: https://www.theunwindai.com
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🌐 Website: https://www.letsmagic.ai/
📖 Readme: https://github.com/dtyq/magic#readme
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: The first open-source all-in-one AI productivity platform (Generalist AI Agent + Workflow Engine + IM + Online collaborative office system)
🔗 Repository URL: https://github.com/dtyq/magic
🌐 Website: https://www.letsmagic.ai/
📖 Readme: https://github.com/dtyq/magic#readme
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📝 Description: Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
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📝 Description: Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
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📖 Readme: https://github.com/fchollet/keras-resources#readme
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❤3
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📖 Readme: https://github.com/aliasrobotics/cai#readme
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: Cybersecurity AI (CAI), an open Bug Bounty-ready Artificial Intelligence
🔗 Repository URL: https://github.com/aliasrobotics/cai
🌐 Website: https://aliasrobotics.github.io/cai/
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🌐 Website: https://colmap.github.io/
📖 Readme: https://github.com/colmap/colmap#readme
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: COLMAP - Structure-from-Motion and Multi-View Stereo
🔗 Repository URL: https://github.com/colmap/colmap
🌐 Website: https://colmap.github.io/
📖 Readme: https://github.com/colmap/colmap#readme
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==================================
🧠 By: https://t.iss.one/DataScienceM