๐ AI / ML / DL Learning Resources Hub ๐ค๐ง
A structured, end-to-end roadmap to master AI โ from fundamentals to cutting-edge research. ๐
A carefully curated, all-in-one repository designed to help Computer Science students, AI enthusiasts, and professionals ๐ฉโ๐ป๐จโ๐ป who want to build strong foundations and progress confidently from beginner to advanced levels ๐. This hub brings together the high-quality books ๐, courses ๐, playlists ๐ต, research papers ๐, tools ๐ , and learning roadmaps ๐บ covering: Artificial Intelligence, Machine Learning, Deep Learning, Data Science ๐, Transformers, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and MLOps ๐, all organized in a clear, practical, and industry-relevant manner.
The resources are selected to balance theory ๐ง , intuition ๐ก, and real-world application ๐, allowing learners to follow modules sequentially or in parallel โณ based on their goals.
โญ๏ธ Recommended resources highlight high-impact content widely used in academia ๐, research ๐ฌ, and industry ๐ญ, ensuring you focus on what truly matters in modern AI.
๐ Repo: https://github.com/bishwaghimire/ai-learning-roadmaps
By: https://t.me/CodeProgrammer
A structured, end-to-end roadmap to master AI โ from fundamentals to cutting-edge research. ๐
A carefully curated, all-in-one repository designed to help Computer Science students, AI enthusiasts, and professionals ๐ฉโ๐ป๐จโ๐ป who want to build strong foundations and progress confidently from beginner to advanced levels ๐. This hub brings together the high-quality books ๐, courses ๐, playlists ๐ต, research papers ๐, tools ๐ , and learning roadmaps ๐บ covering: Artificial Intelligence, Machine Learning, Deep Learning, Data Science ๐, Transformers, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and MLOps ๐, all organized in a clear, practical, and industry-relevant manner.
The resources are selected to balance theory ๐ง , intuition ๐ก, and real-world application ๐, allowing learners to follow modules sequentially or in parallel โณ based on their goals.
โญ๏ธ Recommended resources highlight high-impact content widely used in academia ๐, research ๐ฌ, and industry ๐ญ, ensuring you focus on what truly matters in modern AI.
By: https://t.me/CodeProgrammer
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๐ Thesis โข Dissertation โข Research โข Programming โข Simulation
From a single research ideaโฆ
to a complete academic masterpiece.
๐น Professional assistance for:
โ๏ธ Masterโs & PhD Theses
โ๏ธ ISI / Scopus Articles
โ๏ธ Research Proposals & Methodology
โ๏ธ Data Analysis & Statistical Modeling
โ๏ธ AI & Machine Learning Projects
โ๏ธ MATLAB โข Python โข Simulink โข Abaqus โข COMSOL โข Ansys โข ETAP โข PSCAD โข HOMER โข Proteus โข LabVIEW
โ๏ธ Electrical, Civil, Mechanical, Medical, Management, Computer Science & All Engineering Fields
โ๏ธ Rare & High-Quality Datasets
โ๏ธ Simulation Projects & Optimization Algorithms
โ๏ธ Academic Presentation Design
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๐ Accurate Results
๐ Professional Documentation
๐ป Clean & Structured Coding
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โณ On-Time Delivery
Your research deserves more than copy-paste work.
It deserves precision, originality, and engineering-level thinking.
โจ Turning complex ideas into publishable research.
๐ฉ Contact us for consultation and project evaluation.
https://t.me/Omidyzd62
From a single research ideaโฆ
to a complete academic masterpiece.
๐น Professional assistance for:
โ๏ธ Masterโs & PhD Theses
โ๏ธ ISI / Scopus Articles
โ๏ธ Research Proposals & Methodology
โ๏ธ Data Analysis & Statistical Modeling
โ๏ธ AI & Machine Learning Projects
โ๏ธ MATLAB โข Python โข Simulink โข Abaqus โข COMSOL โข Ansys โข ETAP โข PSCAD โข HOMER โข Proteus โข LabVIEW
โ๏ธ Electrical, Civil, Mechanical, Medical, Management, Computer Science & All Engineering Fields
โ๏ธ Rare & High-Quality Datasets
โ๏ธ Simulation Projects & Optimization Algorithms
โ๏ธ Academic Presentation Design
โ๏ธ Journal Revision & Reviewer Response Preparation
๐ Accurate Results
๐ Professional Documentation
๐ป Clean & Structured Coding
๐ Full Confidentiality
โณ On-Time Delivery
Your research deserves more than copy-paste work.
It deserves precision, originality, and engineering-level thinking.
โจ Turning complex ideas into publishable research.
๐ฉ Contact us for consultation and project evaluation.
https://t.me/Omidyzd62
Telegram
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You can contact @Omidyzd62 right away.
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Automate research with NotebookLM + Python ๐ค๐
Notebooklm-py โ is a unofficial library for working with Google NotebookLM,๐๐ง which allows automating research tasks, generating content, and connecting AI agents. Suitable for prototypes, pet projects, and personal tools โ works both via Python and CLI โจ๏ธ
What it can do:
โข integration with AI agents and Claude Code ๐ค
โข automatic import and processing of sources ๐ฅ
โข generation of podcasts, videos, and educational materials ๐๏ธ๐ฅ๐
โข working via Python API and command line ๐ป
โข using unofficial Google APIs ๐ง
https://github.com/teng-lin/notebooklm-py
https://t.me/CodeProgrammer๐ฑ
Notebooklm-py โ is a unofficial library for working with Google NotebookLM,๐๐ง which allows automating research tasks, generating content, and connecting AI agents. Suitable for prototypes, pet projects, and personal tools โ works both via Python and CLI โจ๏ธ
What it can do:
โข integration with AI agents and Claude Code ๐ค
โข automatic import and processing of sources ๐ฅ
โข generation of podcasts, videos, and educational materials ๐๏ธ๐ฅ๐
โข working via Python API and command line ๐ป
โข using unofficial Google APIs ๐ง
https://github.com/teng-lin/notebooklm-py
https://t.me/CodeProgrammer
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Forwarded from Machine Learning
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Google Gemma 4's pre-training is completely free
All you need is a browser and access to more than 500 models to choose from.
The process is simple:
1. Open the notebook of Unsloth in Colab
2. Select a model and a dataset
3. Start the trainin
Link: https://colab.research.google.com/github/unslothai/unsloth/blob/main/studio/Unsloth_Studio_Colab.ipynb
It's done๐
๐ https://t.me/MachineLearning9
All you need is a browser and access to more than 500 models to choose from.
The process is simple:
1. Open the notebook of Unsloth in Colab
2. Select a model and a dataset
3. Start the trainin
Link: https://colab.research.google.com/github/unslothai/unsloth/blob/main/studio/Unsloth_Studio_Colab.ipynb
It's done
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Forwarded from Python Courses & Resources
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14 minutes with an Anthropic engineer will teach you more about building agents ๐ค than most devs figure out in months of trial and error ๐ .
Same guy who wrote โBuilding Effective Agentsโ, the post every AI builder has bookmarked ๐.
No fluff. No 47-tool frameworks. Just the patterns that actually work in production ๐:
โ When to use workflows vs. agents (most people get this wrong) โ
โ Why simple > clever, every single time โ
โ The orchestrator-worker pattern that scales ๐
โ When NOT to build an agent at all ๐
If youโre shipping AI products in 2026 and havenโt watched this, youโre doing it on hard mode ๐ฎ.
14 minutes. Bookmark it ๐. Watch it twice ๐.
#AI #Agents #Tech #DevCommunity #FutureTech #ProgrammingConcepts
Same guy who wrote โBuilding Effective Agentsโ, the post every AI builder has bookmarked ๐.
No fluff. No 47-tool frameworks. Just the patterns that actually work in production ๐:
โ When to use workflows vs. agents (most people get this wrong) โ
โ Why simple > clever, every single time โ
โ The orchestrator-worker pattern that scales ๐
โ When NOT to build an agent at all ๐
If youโre shipping AI products in 2026 and havenโt watched this, youโre doing it on hard mode ๐ฎ.
14 minutes. Bookmark it ๐. Watch it twice ๐.
#AI #Agents #Tech #DevCommunity #FutureTech #ProgrammingConcepts
โค6๐2
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๐ Interactive textbook on probability theory and statistics ๐โจ
A super-intuitive site where you can visually study distributions, sampling, and statistical concepts. ๐๐ฒ
No tons of formulas and boring theory โ everything is demonstrated through interactive examples and simulations. ๐ป๐ฌ
โ๏ธ Download here ๐
https://seeing-theory.brown.edu/
#Probability #Statistics #DataScience #Learning #Interactive #Math
https://t.me/CodeProgrammer
A super-intuitive site where you can visually study distributions, sampling, and statistical concepts. ๐๐ฒ
No tons of formulas and boring theory โ everything is demonstrated through interactive examples and simulations. ๐ป๐ฌ
โ๏ธ Download here ๐
https://seeing-theory.brown.edu/
#Probability #Statistics #DataScience #Learning #Interactive #Math
https://t.me/CodeProgrammer
โค5
Stop. I found โBTTS NOโ picks that arenโt hype
Recently I stayed up watching a โsure goalโ matchโฆ and it ended 0โ0 ๐ โฝ Thatโs when I quit noisy tipsters and started tracking tight defences & low xG myself ๐๐งค
Then I landed inside WinEveryDayโs BTTS-NO feed - straight to the point, no fluff, just match spots and logic โ ๐ง
I spent weeks filtering stats so you donโt have to ๐ธ๐ฏ
๐ Join the safest BTTS-NO mindset
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Recently I stayed up watching a โsure goalโ matchโฆ and it ended 0โ0 ๐ โฝ Thatโs when I quit noisy tipsters and started tracking tight defences & low xG myself ๐๐งค
Then I landed inside WinEveryDayโs BTTS-NO feed - straight to the point, no fluff, just match spots and logic โ ๐ง
I spent weeks filtering stats so you donโt have to ๐ธ๐ฏ
๐ Join the safest BTTS-NO mindset
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