๐ฅ Trending Repository: slime
๐ Description: slime is an LLM post-training framework for RL Scaling.
๐ Repository URL: https://github.com/THUDM/slime
๐ Website: https://thudm.github.io/slime
๐ Readme: https://github.com/THUDM/slime#readme
๐ Statistics:
๐ Stars: 4K stars
๐ Watchers: 16
๐ด Forks: 523 forks
๐ป Programming Languages: Python - Shell
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: slime is an LLM post-training framework for RL Scaling.
๐ Repository URL: https://github.com/THUDM/slime
๐ Website: https://thudm.github.io/slime
๐ Readme: https://github.com/THUDM/slime#readme
๐ Statistics:
๐ Stars: 4K stars
๐ Watchers: 16
๐ด Forks: 523 forks
๐ป Programming Languages: Python - Shell
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
โค2
๐ฅ Trending Repository: DebugSwift
๐ Description: A toolkit to make debugging iOS applications easier ๐
๐ Repository URL: https://github.com/DebugSwift/DebugSwift
๐ Readme: https://github.com/DebugSwift/DebugSwift#readme
๐ Statistics:
๐ Stars: 1.3K stars
๐ Watchers: 7
๐ด Forks: 118 forks
๐ป Programming Languages: Swift
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: A toolkit to make debugging iOS applications easier ๐
๐ Repository URL: https://github.com/DebugSwift/DebugSwift
๐ Readme: https://github.com/DebugSwift/DebugSwift#readme
๐ Statistics:
๐ Stars: 1.3K stars
๐ Watchers: 7
๐ด Forks: 118 forks
๐ป Programming Languages: Swift
๐ท๏ธ Related Topics:
#debugger #swift #debugging #ui #networking #log #analytics #analysis #view #cocoapods #sandbox #uikit #debug #performance_analysis #crashlytics #hacktoberfest #leak_detection #logs_analysis #layout_debugger #swift6
==================================
๐ง By: https://t.iss.one/DataScienceM
โค3
SQL ๐ข๐ฟ๐ฑ๐ฒ๐ฟ ๐ข๐ณ ๐๐
๐ฒ๐ฐ๐๐๐ถ๐ผ๐ป
1 โ FROM (Tables selected).
2 โ WHERE (Filters applied).
3 โ GROUP BY (Rows grouped).
4 โ HAVING (Filter on grouped data).
5 โ SELECT (Columns selected).
6 โ ORDER BY (Sort the data).
7 โ LIMIT (Restrict number of rows).
๐๐ผ๐บ๐บ๐ผ๐ป ๐ค๐๐ฒ๐ฟ๐ถ๐ฒ๐ ๐ง๐ผ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ โ
โฌ Find the second-highest salary:
SELECT MAX(Salary) FROM Employees WHERE Salary < (SELECT MAX(Salary) FROM Employees);
โฌ Find duplicate records:
SELECT Name, COUNT(*)
FROM Emp
GROUP BY Name
HAVING COUNT(*) > 1;
https://t.iss.one/DataScienceM
1 โ FROM (Tables selected).
2 โ WHERE (Filters applied).
3 โ GROUP BY (Rows grouped).
4 โ HAVING (Filter on grouped data).
5 โ SELECT (Columns selected).
6 โ ORDER BY (Sort the data).
7 โ LIMIT (Restrict number of rows).
๐๐ผ๐บ๐บ๐ผ๐ป ๐ค๐๐ฒ๐ฟ๐ถ๐ฒ๐ ๐ง๐ผ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ โ
โฌ Find the second-highest salary:
SELECT MAX(Salary) FROM Employees WHERE Salary < (SELECT MAX(Salary) FROM Employees);
โฌ Find duplicate records:
SELECT Name, COUNT(*)
FROM Emp
GROUP BY Name
HAVING COUNT(*) > 1;
https://t.iss.one/DataScienceM
โค1๐ฅ1
๐ฅ Trending Repository: zvec
๐ Description: A lightweight, lightning-fast, in-process vector database
๐ Repository URL: https://github.com/alibaba/zvec
๐ Website: https://zvec.org/en/
๐ Readme: https://github.com/alibaba/zvec#readme
๐ Statistics:
๐ Stars: 967 stars
๐ Watchers: 4
๐ด Forks: 56 forks
๐ป Programming Languages: C++ - SWIG - Python - C - CMake - ANTLR
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: A lightweight, lightning-fast, in-process vector database
๐ Repository URL: https://github.com/alibaba/zvec
๐ Website: https://zvec.org/en/
๐ Readme: https://github.com/alibaba/zvec#readme
๐ Statistics:
๐ Stars: 967 stars
๐ Watchers: 4
๐ด Forks: 56 forks
๐ป Programming Languages: C++ - SWIG - Python - C - CMake - ANTLR
๐ท๏ธ Related Topics:
#embedded_database #rag #vector_search #ann_search #vectordb
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ฅ Trending Repository: wifi-densepose
๐ Description: Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers
๐ Repository URL: https://github.com/ruvnet/wifi-densepose
๐ Readme: https://github.com/ruvnet/wifi-densepose#readme
๐ Statistics:
๐ Stars: 6K stars
๐ Watchers: 39
๐ด Forks: 544 forks
๐ป Programming Languages: Python - Rust - JavaScript - Shell - HTML - CSS
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers
๐ Repository URL: https://github.com/ruvnet/wifi-densepose
๐ Readme: https://github.com/ruvnet/wifi-densepose#readme
๐ Statistics:
๐ Stars: 6K stars
๐ Watchers: 39
๐ด Forks: 544 forks
๐ป Programming Languages: Python - Rust - JavaScript - Shell - HTML - CSS
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ฅ Trending Repository: unstract
๐ Description: No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
๐ Repository URL: https://github.com/Zipstack/unstract
๐ Website: https://unstract.com
๐ Readme: https://github.com/Zipstack/unstract#readme
๐ Statistics:
๐ Stars: 6.2K stars
๐ Watchers: 46
๐ด Forks: 588 forks
๐ป Programming Languages: Python - JavaScript - Shell - CSS
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
๐ Repository URL: https://github.com/Zipstack/unstract
๐ Website: https://unstract.com
๐ Readme: https://github.com/Zipstack/unstract#readme
๐ Statistics:
๐ Stars: 6.2K stars
๐ Watchers: 46
๐ด Forks: 588 forks
๐ป Programming Languages: Python - JavaScript - Shell - CSS
๐ท๏ธ Related Topics:
#unstructured_data #etl_pipeline #llm_platform
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ฅ Trending Repository: letta-code
๐ Description: The memory-first coding agent
๐ Repository URL: https://github.com/letta-ai/letta-code
๐ Website: https://docs.letta.com/letta-code
๐ Readme: https://github.com/letta-ai/letta-code#readme
๐ Statistics:
๐ Stars: 1.1K stars
๐ Watchers: 7
๐ด Forks: 133 forks
๐ป Programming Languages: TypeScript
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: The memory-first coding agent
๐ Repository URL: https://github.com/letta-ai/letta-code
๐ Website: https://docs.letta.com/letta-code
๐ Readme: https://github.com/letta-ai/letta-code#readme
๐ Statistics:
๐ Stars: 1.1K stars
๐ Watchers: 7
๐ด Forks: 133 forks
๐ป Programming Languages: TypeScript
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ฅ Trending Repository: ruby
๐ Description: The Ruby Programming Language
๐ Repository URL: https://github.com/ruby/ruby
๐ Website: https://www.ruby-lang.org/
๐ Readme: https://github.com/ruby/ruby#readme
๐ Statistics:
๐ Stars: 23.3K stars
๐ Watchers: 1.1k
๐ด Forks: 5.6K forks
๐ป Programming Languages: Ruby - C - Rust - C++ - Yacc - HTML
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: The Ruby Programming Language
๐ Repository URL: https://github.com/ruby/ruby
๐ Website: https://www.ruby-lang.org/
๐ Readme: https://github.com/ruby/ruby#readme
๐ Statistics:
๐ Stars: 23.3K stars
๐ Watchers: 1.1k
๐ด Forks: 5.6K forks
๐ป Programming Languages: Ruby - C - Rust - C++ - Yacc - HTML
๐ท๏ธ Related Topics:
#ruby #c #language #programming_language #rust #jit #object_oriented #ruby_language
==================================
๐ง By: https://t.iss.one/DataScienceM
โค1
๐ฅ Trending Repository: gogcli
๐ Description: Google Suite CLI: Gmail, GCal, GDrive, GContacts.
๐ Repository URL: https://github.com/steipete/gogcli
๐ Website: https://gogcli.sh
๐ Readme: https://github.com/steipete/gogcli#readme
๐ Statistics:
๐ Stars: 2.7K stars
๐ Watchers: 19
๐ด Forks: 242 forks
๐ป Programming Languages: Go - HTML - Shell
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: Google Suite CLI: Gmail, GCal, GDrive, GContacts.
๐ Repository URL: https://github.com/steipete/gogcli
๐ Website: https://gogcli.sh
๐ Readme: https://github.com/steipete/gogcli#readme
๐ Statistics:
๐ Stars: 2.7K stars
๐ Watchers: 19
๐ด Forks: 242 forks
๐ป Programming Languages: Go - HTML - Shell
๐ท๏ธ Related Topics:
#google #gmail #gdrive #gcal #gcontacts
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ฅ Trending Repository: moonshine
๐ Description: Fast and accurate automatic speech recognition (ASR) for edge devices
๐ Repository URL: https://github.com/moonshine-ai/moonshine
๐ Readme: https://github.com/moonshine-ai/moonshine#readme
๐ Statistics:
๐ Stars: 3.6K stars
๐ Watchers: 43
๐ด Forks: 175 forks
๐ป Programming Languages: C - C++ - Python - Swift - Java - Jupyter Notebook
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: Fast and accurate automatic speech recognition (ASR) for edge devices
๐ Repository URL: https://github.com/moonshine-ai/moonshine
๐ Readme: https://github.com/moonshine-ai/moonshine#readme
๐ Statistics:
๐ Stars: 3.6K stars
๐ Watchers: 43
๐ด Forks: 175 forks
๐ป Programming Languages: C - C++ - Python - Swift - Java - Jupyter Notebook
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ฅ Trending Repository: brave-browser
๐ Description: Brave browser for Android, iOS, Linux, macOS, Windows.
๐ Repository URL: https://github.com/brave/brave-browser
๐ Website: https://brave.com
๐ Readme: https://github.com/brave/brave-browser#readme
๐ Statistics:
๐ Stars: 21.5K stars
๐ Watchers: 388
๐ด Forks: 3K forks
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: Brave browser for Android, iOS, Linux, macOS, Windows.
๐ Repository URL: https://github.com/brave/brave-browser
๐ Website: https://brave.com
๐ Readme: https://github.com/brave/brave-browser#readme
๐ Statistics:
๐ Stars: 21.5K stars
๐ Watchers: 388
๐ด Forks: 3K forks
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics:
#windows #macos #linux #browser #chromium #brave
==================================
๐ง By: https://t.iss.one/DataScienceM
โค1
๐ Master Data Science & Programming!
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โค2
๐ฅ Trending Repository: claude-pilot
๐ Description: Claude Code is powerful. Pilot makes it reliable. Start a task, grab a coffee, come back to production-grade code. Tests enforced. Context preserved. Quality automated.
๐ Repository URL: https://github.com/maxritter/claude-pilot
๐ Website: https://claude-pilot.com
๐ Readme: https://github.com/maxritter/claude-pilot#readme
๐ Statistics:
๐ Stars: 1.1K stars
๐ Watchers: 17
๐ด Forks: 84 forks
๐ป Programming Languages: TypeScript - Python - JavaScript - Shell - HTML - CSS
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: Claude Code is powerful. Pilot makes it reliable. Start a task, grab a coffee, come back to production-grade code. Tests enforced. Context preserved. Quality automated.
๐ Repository URL: https://github.com/maxritter/claude-pilot
๐ Website: https://claude-pilot.com
๐ Readme: https://github.com/maxritter/claude-pilot#readme
๐ Statistics:
๐ Stars: 1.1K stars
๐ Watchers: 17
๐ด Forks: 84 forks
๐ป Programming Languages: TypeScript - Python - JavaScript - Shell - HTML - CSS
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#mcp #software_engineering #ai_agents #claude #ai_engineering #ai_assistant #ai_tools #anthropic #claude_ai #anthropic_claude #ai_coding_tools #ai_coding #model_context_protocol #claude_code #claudecode #spec_driven_development #claude_skills #claude_context #claude_mem
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ฅ Trending Repository: seerr
๐ Description: Open-source media request and discovery manager for Jellyfin, Plex, and Emby.
๐ Repository URL: https://github.com/seerr-team/seerr
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๐ Stars: 8.9K stars
๐ Watchers: 39
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๐ป Programming Languages: TypeScript - JavaScript - CSS - Pug - Go Template - HTML
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==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: Open-source media request and discovery manager for Jellyfin, Plex, and Emby.
๐ Repository URL: https://github.com/seerr-team/seerr
๐ Website: https://docs.seerr.dev
๐ Readme: https://github.com/seerr-team/seerr#readme
๐ Statistics:
๐ Stars: 8.9K stars
๐ Watchers: 39
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๐ป Programming Languages: TypeScript - JavaScript - CSS - Pug - Go Template - HTML
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==================================
๐ง By: https://t.iss.one/DataScienceM
๐ฅ Trending Repository: hummingbot
๐ Description: Open source software that helps you create and deploy high-frequency crypto trading bots
๐ Repository URL: https://github.com/hummingbot/hummingbot
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๐ Watchers: 188
๐ด Forks: 4.4K forks
๐ป Programming Languages: Python - Cython - C++ - Shell - Makefile - Dockerfile
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==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: Open source software that helps you create and deploy high-frequency crypto trading bots
๐ Repository URL: https://github.com/hummingbot/hummingbot
๐ Website: https://hummingbot.org
๐ Readme: https://github.com/hummingbot/hummingbot#readme
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๐ Stars: 16.2K stars
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๐ด Forks: 4.4K forks
๐ป Programming Languages: Python - Cython - C++ - Shell - Makefile - Dockerfile
๐ท๏ธ Related Topics:
#python #bot #docker #crypto #bitcoin #trading #cython #ethereum #cryptocurrency #algotrading #hft #arbitrage #dex #orderbook #backtesting #marketmaking
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ฅ Trending Repository: opencti
๐ Description: Open Cyber Threat Intelligence Platform
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==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: Open Cyber Threat Intelligence Platform
๐ Repository URL: https://github.com/OpenCTI-Platform/opencti
๐ Website: https://opencti.io
๐ Readme: https://github.com/OpenCTI-Platform/opencti#readme
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๐ Stars: 8.2K stars
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๐ด Forks: 1.2K forks
๐ป Programming Languages: TypeScript - JavaScript - Python - HTML - CSS - Shell
๐ท๏ธ Related Topics:
#security #intelligence #osint #cybersecurity #cti #cyber #threat_intelligence
==================================
๐ง By: https://t.iss.one/DataScienceM
โค1
๐ฅ Trending Repository: summarize
๐ Description: Point at any URL/YouTube/Podcast or file. Get the gist. CLI and Chrome Extension.
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๐ Website: https://summarize.sh
๐ Readme: https://github.com/steipete/summarize#readme
๐ Statistics:
๐ Stars: 3.2K stars
๐ Watchers: 14
๐ด Forks: 213 forks
๐ป Programming Languages: TypeScript - CSS
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==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: Point at any URL/YouTube/Podcast or file. Get the gist. CLI and Chrome Extension.
๐ Repository URL: https://github.com/steipete/summarize
๐ Website: https://summarize.sh
๐ Readme: https://github.com/steipete/summarize#readme
๐ Statistics:
๐ Stars: 3.2K stars
๐ Watchers: 14
๐ด Forks: 213 forks
๐ป Programming Languages: TypeScript - CSS
๐ท๏ธ Related Topics:
#cli #typescript #ai #summarize
==================================
๐ง By: https://t.iss.one/DataScienceM
โค2
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 โ https://mlu-explain.github.io/neural-networks/
tags: #AI #ML #PYTHON
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Roadmap to Master Data Science in 60 Days! ๐๐ค
๐ Week 1โ2: Python & Data Handling Basics
- Day 1โ5: Python fundamentals โ variables, loops, functions, lists, dictionaries
- Day 6โ10: NumPy & Pandas โ arrays, data cleaning, filtering, data manipulation
๐ Week 3โ4: Data Analysis & Visualization
- Day 11โ15: Data analysis โ EDA (Exploratory Data Analysis), statistics basics, data preprocessing
- Day 16โ20: Data visualization โ Matplotlib, Seaborn, charts, dashboards, storytelling with data
๐ Week 5โ6: Machine Learning Fundamentals
- Day 21โ25: ML concepts โ supervised vs unsupervised learning, regression, classification
- Day 26โ30: ML algorithms โ Linear Regression, Logistic Regression, Decision Trees, KNN
๐ Week 7โ8: Advanced ML & Model Building
- Day 31โ35: Model evaluation โ train/test split, cross-validation, accuracy, precision, recall
- Day 36โ40: Scikit-learn, feature engineering, model tuning, clustering (K-Means)
๐ Week 9: SQL & Real-World Data Skills
- Day 41โ45: SQL โ SELECT, WHERE, JOIN, GROUP BY, subqueries
- Day 46โ50: Working with real datasets, Kaggle practice, data pipelines basics
๐ Final Days: Projects + Deployment
- Day 51โ60:
โ Build 2โ3 projects (sales prediction, customer segmentation, recommendation system)
โ Create portfolio on GitHub
โ Learn basics of model deployment (Streamlit/Flask)
โ Prepare for data science interviews
โญ Bonus Tip: Focus more on projects than theory โ companies hire for practical skills.
https://t.iss.one/DataScienceM
๐ Week 1โ2: Python & Data Handling Basics
- Day 1โ5: Python fundamentals โ variables, loops, functions, lists, dictionaries
- Day 6โ10: NumPy & Pandas โ arrays, data cleaning, filtering, data manipulation
๐ Week 3โ4: Data Analysis & Visualization
- Day 11โ15: Data analysis โ EDA (Exploratory Data Analysis), statistics basics, data preprocessing
- Day 16โ20: Data visualization โ Matplotlib, Seaborn, charts, dashboards, storytelling with data
๐ Week 5โ6: Machine Learning Fundamentals
- Day 21โ25: ML concepts โ supervised vs unsupervised learning, regression, classification
- Day 26โ30: ML algorithms โ Linear Regression, Logistic Regression, Decision Trees, KNN
๐ Week 7โ8: Advanced ML & Model Building
- Day 31โ35: Model evaluation โ train/test split, cross-validation, accuracy, precision, recall
- Day 36โ40: Scikit-learn, feature engineering, model tuning, clustering (K-Means)
๐ Week 9: SQL & Real-World Data Skills
- Day 41โ45: SQL โ SELECT, WHERE, JOIN, GROUP BY, subqueries
- Day 46โ50: Working with real datasets, Kaggle practice, data pipelines basics
๐ Final Days: Projects + Deployment
- Day 51โ60:
โ Build 2โ3 projects (sales prediction, customer segmentation, recommendation system)
โ Create portfolio on GitHub
โ Learn basics of model deployment (Streamlit/Flask)
โ Prepare for data science interviews
โญ Bonus Tip: Focus more on projects than theory โ companies hire for practical skills.
https://t.iss.one/DataScienceM
โค3
๐ฅ Trending Repository: qwen-code
๐ Description: An open-source AI agent that lives in your terminal.
๐ Repository URL: https://github.com/QwenLM/qwen-code
๐ Website: https://qwenlm.github.io/qwen-code-docs/en/users/overview
๐ Readme: https://github.com/QwenLM/qwen-code#readme
๐ Statistics:
๐ Stars: 18.6K stars
๐ Watchers: 107
๐ด Forks: 1.6K forks
๐ป Programming Languages: TypeScript - JavaScript - Java - CSS - Python - HTML
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: An open-source AI agent that lives in your terminal.
๐ Repository URL: https://github.com/QwenLM/qwen-code
๐ Website: https://qwenlm.github.io/qwen-code-docs/en/users/overview
๐ Readme: https://github.com/QwenLM/qwen-code#readme
๐ Statistics:
๐ Stars: 18.6K stars
๐ Watchers: 107
๐ด Forks: 1.6K forks
๐ป Programming Languages: TypeScript - JavaScript - Java - CSS - Python - HTML
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceM
โค1
๐ฅ Trending Repository: RAG_Techniques
๐ 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.
๐ Repository URL: https://github.com/NirDiamant/RAG_Techniques
๐ Readme: https://github.com/NirDiamant/RAG_Techniques#readme
๐ Statistics:
๐ Stars: 25K stars
๐ Watchers: 243
๐ด Forks: 2.9K forks
๐ป Programming Languages: Jupyter Notebook - Python
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ 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.
๐ Repository URL: https://github.com/NirDiamant/RAG_Techniques
๐ Readme: https://github.com/NirDiamant/RAG_Techniques#readme
๐ Statistics:
๐ Stars: 25K stars
๐ Watchers: 243
๐ด Forks: 2.9K forks
๐ป Programming Languages: Jupyter Notebook - Python
๐ท๏ธ Related Topics:
#python #ai #tutorials #rag #llm #llms #langchain #llama_index #opeani
==================================
๐ง By: https://t.iss.one/DataScienceM