Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho
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πŸ”₯ Trending Repository: awesome-llm-apps

πŸ“ Description: Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

πŸ”— Repository URL: https://github.com/Shubhamsaboo/awesome-llm-apps

🌐 Website: https://www.theunwindai.com

πŸ“– Readme: https://github.com/Shubhamsaboo/awesome-llm-apps#readme

πŸ“Š Statistics:
🌟 Stars: 58.1K stars
πŸ‘€ Watchers: 664
🍴 Forks: 6.9K forks

πŸ’» Programming Languages: Python - JavaScript - TypeScript - CSS - PLpgSQL - HTML

🏷️ Related Topics:
#python #rag #llms


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

πŸ“ Description: Free, local, open-source AI app builder ✨ v0 / lovable / Bolt alternative 🌟 Star if you like it!

πŸ”— Repository URL: https://github.com/dyad-sh/dyad

🌐 Website: https://dyad.sh

πŸ“– Readme: https://github.com/dyad-sh/dyad#readme

πŸ“Š Statistics:
🌟 Stars: 13.2K stars
πŸ‘€ Watchers: 73
🍴 Forks: 1.3K forks

πŸ’» Programming Languages: TypeScript - JavaScript - CSS - HTML - Shell - Python

🏷️ Related Topics:
#github #react #typescript #nextjs #artificial_intelligence #gemini #openai #bolt #v0 #lovable #vercel #llm #llms #generative_ai #anthropic #ollama #qwen #deepseek #ai_app_builder


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: generative-ai-for-beginners

πŸ“ Description: 21 Lessons, Get Started Building with Generative AI

πŸ”— Repository URL: https://github.com/microsoft/generative-ai-for-beginners

πŸ“– Readme: https://github.com/microsoft/generative-ai-for-beginners#readme

πŸ“Š Statistics:
🌟 Stars: 95.7K stars
πŸ‘€ Watchers: 827
🍴 Forks: 50.1K forks

πŸ’» Programming Languages: Jupyter Notebook - Python - JavaScript - TypeScript - Shell - PowerShell

🏷️ Related Topics:
#ai #azure #transformers #openai #gpt #language_model #semantic_search #dall_e #prompt_engineering #llms #generative_ai #generativeai #chatgpt #microsoft_for_beginners


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: Hands-On-Large-Language-Models

πŸ“ Description: Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

πŸ”— Repository URL: https://github.com/HandsOnLLM/Hands-On-Large-Language-Models

🌐 Website: https://www.llm-book.com/

πŸ“– Readme: https://github.com/HandsOnLLM/Hands-On-Large-Language-Models#readme

πŸ“Š Statistics:
🌟 Stars: 14.5K stars
πŸ‘€ Watchers: 154
🍴 Forks: 3.4K forks

πŸ’» Programming Languages: Jupyter Notebook

🏷️ Related Topics:
#book #artificial_intelligence #oreilly #oreilly_books #large_language_models #llm #llms


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

πŸ“ Description: MCP Toolbox for Databases is an open source MCP server for databases.

πŸ”— Repository URL: https://github.com/googleapis/genai-toolbox

🌐 Website: https://googleapis.github.io/genai-toolbox/getting-started/introduction/

πŸ“– Readme: https://github.com/googleapis/genai-toolbox#readme

πŸ“Š Statistics:
🌟 Stars: 9.8K stars
πŸ‘€ Watchers: 61
🍴 Forks: 749 forks

πŸ’» Programming Languages: Go - JavaScript - CSS - HTML - Shell - Dockerfile

🏷️ Related Topics:
#mcp #databases #llms #genai


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

πŸ“ Description: Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen2.5, Qwen3, Llama, and more!

πŸ”— Repository URL: https://github.com/OpenPipe/ART

🌐 Website: https://art.openpipe.ai

πŸ“– Readme: https://github.com/OpenPipe/ART#readme

πŸ“Š Statistics:
🌟 Stars: 6K stars
πŸ‘€ Watchers: 35
🍴 Forks: 380 forks

πŸ’» Programming Languages: Python - Jupyter Notebook - Shell

🏷️ Related Topics:
#agent #reinforcement_learning #rl #lora #llms #qwen #kimi_ai #agentic_ai #grpo #qwen3


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

πŸ“ Description: Open-source search and retrieval database for AI applications.

πŸ”— Repository URL: https://github.com/chroma-core/chroma

🌐 Website: https://www.trychroma.com/

πŸ“– Readme: https://github.com/chroma-core/chroma#readme

πŸ“Š Statistics:
🌟 Stars: 22.2K stars
πŸ‘€ Watchers: 121
🍴 Forks: 1.8K forks

πŸ’» Programming Languages: Rust - Python - TypeScript - Go - Jupyter Notebook - JavaScript

🏷️ Related Topics:
#rust #database #ai #embeddings #rust_lang #document_retrieval #rag #vector_database #llm #llms


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

πŸ“ Description: HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

πŸ”— Repository URL: https://github.com/humanlayer/humanlayer

🌐 Website: https://humanlayer.dev

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

πŸ“Š Statistics:
🌟 Stars: 1.3K stars
πŸ‘€ Watchers: 8
🍴 Forks: 136 forks

πŸ’» Programming Languages: TypeScript - Go - Python - CSS - Makefile - Shell

🏷️ Related Topics:
#ai #approval_process #agents #human_in_the_loop #escalation_policy #llm #llms #function_calling #agentic_workflow #agentic_ai #humanlayer #human_as_tool


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

πŸ“ Description: Open Source Application for Advanced LLM + Diffusion Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.

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

🌐 Website: https://transformerlab.ai/

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

πŸ“Š Statistics:
🌟 Stars: 3.9K stars
πŸ‘€ Watchers: 31
🍴 Forks: 363 forks

πŸ’» Programming Languages: TypeScript - JavaScript

🏷️ Related Topics:
#electron #transformers #llama #lora #diffusion #mlx #diffusion_models #llms #stability_diffusion #rlhf


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🧠 By: https://t.iss.one/DataScienceM
πŸ€–πŸ§  How oLLM Makes Large-Context AI Models Run Smoothly on 8GB GPUs

πŸ—“οΈ 11 Oct 2025
πŸ“š AI News & Trends

Artificial intelligence has revolutionized the way we process information, analyze data, and automate complex tasks. With the rise of large language models (LLMs), AI capabilities have grown exponentially, enabling applications from natural language understanding to multimodal reasoning. However, running these models efficiently especially with massive context windows, remains a challenge due to their high memory ...

#oLLM #LargeContextAI #AIGPU #MachineLearning #LLMs #AIOptimization
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πŸ€–πŸ§  Try Powerful Mem0 AI to build Long-Term Memory for AI Agents

πŸ—“οΈ 12 Oct 2025
πŸ“š AI News & Trends

Artificial Intelligence has made incredible leaps in recent years from chatbots that converse naturally to AI agents capable of reasoning and decision-making. However, one major limitation has persisted: memory. Traditional large language models (LLMs) like ChatGPT or Claude can process vast data but fail to remember context across long interactions. This is where Mem0 AI, ...

#Mem0AI #AIAgents #LongTermMemory #ArtificialIntelligence #AIMemory #LLMs
πŸ€–πŸ§  Ultimate OpenTSLM: Stanford’s Open-Source Framework Bridging LLMs and Medical Time-Series Data

πŸ—“οΈ 13 Oct 2025
πŸ“š AI News & Trends

In recent years, artificial intelligence (AI) has made remarkable strides in transforming healthcare. From medical imaging to patient monitoring systems, AI-driven solutions are reshaping how clinicians diagnose, treat and manage diseases. One of the most promising developments in this space is the integration of large language models (LLMs) with time-series data, a combination that holds ...

#OpenTSLM #LLMs #MedicalAI #TimeSeriesData #ArtificialIntelligence #OpenSourceFramework
πŸ€–πŸ§  NVIDIA, MIT, HKU and Tsinghua University Introduce QeRL: A Powerful Quantum Leap in Reinforcement Learning for LLMs

πŸ—“οΈ 17 Oct 2025
πŸ“š AI News & Trends

The rise of large language models (LLMs) has redefined artificial intelligence powering everything from conversational AI to autonomous reasoning systems. However, training these models especially through reinforcement learning (RL) is computationally expensive requiring massive GPU resources and long training cycles. To address this, a team of researchers from NVIDIA, Massachusetts Institute of Technology (MIT), The ...

#QuantumLearning #ReinforcementLearning #LLMs #NVIDIA #MIT #TsinghuaUniversity
πŸ€–πŸ§  Agentic Entropy-Balanced Policy Optimization (AEPO): Balancing Exploration and Stability in Reinforcement Learning for Web Agents

πŸ—“οΈ 17 Oct 2025
πŸ“š AI News & Trends

AEPO (Agentic Entropy-Balanced Policy Optimization) represents a major advancement in the evolution of Agentic Reinforcement Learning (RL). As large language models (LLMs) increasingly act as autonomous web agents – searching, reasoning and interacting with tools – the need for balanced exploration and stability has become crucial. Traditional RL methods often rely heavily on entropy to ...

#AgenticRL #ReinforcementLearning #LLMs #WebAgents #EntropyBalanced #PolicyOptimization
πŸ€–πŸ§  The Art of Scaling Reinforcement Learning Compute for LLMs: Top Insights from Meta, UT Austin and Harvard University

πŸ—“οΈ 21 Oct 2025
πŸ“š AI News & Trends

As Large Language Models (LLMs) continue to redefine artificial intelligence, a new research breakthrough has emerged from Meta, The University of Texas at Austin, University College London, UC Berkeley, Harvard University and Periodic Labs. Their paper, titled β€œThe Art of Scaling Reinforcement Learning Compute for LLMs,” introduces a transformative framework for understanding how reinforcement learning ...

#ReinforcementLearning #LLMs #AIResearch #Meta #UTAustin #HarvardUniversity
πŸ€–πŸ§  The Art of Scaling Reinforcement Learning Compute for LLMs: Top Insights from Meta, UT Austin and Harvard University

πŸ—“οΈ 21 Oct 2025
πŸ“š AI News & Trends

As Large Language Models (LLMs) continue to redefine artificial intelligence, a new research breakthrough has emerged from Meta, The University of Texas at Austin, University College London, UC Berkeley, Harvard University and Periodic Labs. Their paper, titled β€œThe Art of Scaling Reinforcement Learning Compute for LLMs,” introduces a transformative framework for understanding how reinforcement learning ...

#ReinforcementLearning #LLMs #AIResearch #Meta #UTAustin #HarvardUniversity
πŸ€–πŸ§  AgentFly: The Future of Reinforcement Learning for Intelligent Language Model Agents

πŸ—“οΈ 22 Oct 2025
πŸ“š AI News & Trends

AgentFly is a cutting-edge framework developed by researchers at the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) to revolutionize how large language models (LLMs) learn and act. It combines the power of reinforcement learning (RL) with language model agents enabling them to go beyond static prompt responses and learn through real-time feedback and experience. ...

#ReinforcementLearning #LLMs #LanguageModelAgents #ArtificialIntelligence #AgentFly #AIFramework
πŸ“Œ TDS Newsletter: The Theory and Practice of Using AI Effectively

πŸ—‚ Category: THE VARIABLE

πŸ•’ Date: 2025-11-06 | ⏱️ Read time: 3 min read

This newsletter delves into the effective application of emerging AI technologies, specifically focusing on LLM applications. It guides readers beyond the initial excitement of new tech, bridging the gap between theoretical knowledge and practical, impactful implementation. The content emphasizes a strategic approach to adopting and utilizing AI tools, ensuring they are used effectively in real-world scenarios rather than being a passing trend.

#AI #LLMs #AIStrategy #TechAdoption
πŸ“Œ LLM-Powered Time-Series Analysis

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-11-09 | ⏱️ Read time: 9 min read

Explore the next frontier of time-series analysis by leveraging the power of Large Language Models. This article, the second in a series, delves into practical prompting strategies for advanced model development. Learn how to effectively guide LLMs to build more sophisticated and accurate forecasting and analysis solutions, moving beyond basic applications to unlock new capabilities in this critical data science domain.

#LLMs #TimeSeriesAnalysis #PromptEngineering #DataScience #AI
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πŸ“Œ LLMs Are Randomized Algorithms

πŸ—‚ Category: LARGE LANGUAGE MODELS

πŸ•’ Date: 2025-11-13 | ⏱️ Read time: 18 min read

A surprising link has been drawn between modern Large Language Models and the 50-year-old field of randomized algorithms. This perspective reframes LLMs not just as complex neural networks, but as a practical application of established algorithmic theory. Viewing today's most advanced AI through this lens offers a novel framework for analyzing their probabilistic nature, behavior, and underlying operational principles, bridging the gap between cutting-edge AI and foundational computer science.

#LLMs #AI #RandomizedAlgorithms #ComputerScience #MachineLearning