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Achievement: Starstruckx3Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2

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curiousily/README.md

Hi there 👋

Hey, I am Venelin. Thanks for stopping by!

I am from an awesome little country called Bulgaria.

I work as a full-time Machine Learning engineer and write tutorials on basic and advanced topics (videos, posts, and code - lots of it).

You can:

Have an awesome day!

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  1. AI-Bootcamp AI-Bootcamp Public

    Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen3, Gemma3,…

    Jupyter Notebook 750 239

  2. Get-Things-Done-with-Prompt-Engineering-and-LangChain Get-Things-Done-with-Prompt-Engineering-and-LangChain Public

    LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and…

    Jupyter Notebook 1.2k 377

  3. Getting-Things-Done-with-Pytorch Getting-Things-Done-with-Pytorch Public

    Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…

    Jupyter Notebook 2.5k 650

  4. Deep-Learning-For-Hackers Deep-Learning-For-Hackers Public

    Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…

    Jupyter Notebook 1.1k 439

  5. Machine-Learning-from-Scratch Machine-Learning-from-Scratch Public

    Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-m…

    Jupyter Notebook 185 66

  6. ragbase ragbase Public

    Completely local RAG. Chat with your PDF documents (with open LLM) and UI to that uses LangChain, Streamlit, Ollama (Llama 3.1), Qdrant and advanced methods like reranking and semantic chunking.

    Python 121 40