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@my-thought-experiments

My Thought Experiments

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  1. ml-tools ml-tools Public

    A collections of documents and practice examples on ML tools like pandas, numpy etc. on datasets.

    Jupyter Notebook 1

  2. explore-tensorflow explore-tensorflow Public

    A collection of documents and programs to learn about Data Science and ML using TensorFlow.

    Jupyter Notebook 1

  3. dsa_py dsa_py Public

    Data Structures and Algorithms (Python)

    Python 1

  4. dsa_js dsa_js Public

    Data Structures and Algorithms (JavaScript)

    JavaScript 1

Repositories

Showing 10 of 36 repositories
  • vscode-src Public
    my-thought-experiments/vscode-src’s past year of commit activity
    JavaScript 0 0 0 0 Updated Jul 27, 2024
  • topics Public
    my-thought-experiments/topics’s past year of commit activity
    JavaScript 1 MIT 0 0 0 Updated Jul 4, 2024
  • my-thought-experiments/docker-templates’s past year of commit activity
    0 MIT 0 0 0 Updated Feb 7, 2024
  • llm Public
    my-thought-experiments/llm’s past year of commit activity
    0 Apache-2.0 0 0 0 Updated Aug 23, 2023
  • Evaluating-and-Debugging-Generative-AI Public Forked from Ryota-Kawamura/Evaluating-and-Debugging-Generative-AI

    Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.

    my-thought-experiments/Evaluating-and-Debugging-Generative-AI’s past year of commit activity
    Jupyter Notebook 0 17 0 0 Updated Aug 20, 2023
  • AI-for-Good-Specialization Public Forked from Ryota-Kawamura/AI-for-Good-Specialization

    Learn AI's role in addressing complex challenges. Build skills combining human and machine intelligence for positive real-world impact using AI

    my-thought-experiments/AI-for-Good-Specialization’s past year of commit activity
    Jupyter Notebook 0 18 0 0 Updated Jul 20, 2023
  • Mathematics-for-Machine-Learning-and-Data-Science-Specialization Public Forked from Ryota-Kawamura/Mathematics-for-Machine-Learning-and-Data-Science-Specialization

    Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

    my-thought-experiments/Mathematics-for-Machine-Learning-and-Data-Science-Specialization’s past year of commit activity
    Jupyter Notebook 0 184 0 0 Updated Jul 10, 2023
  • Generative-AI-with-LLMs Public Forked from Ryota-Kawamura/Generative-AI-with-LLMs

    In Generative AI with Large Language Models (LLMs), you’ll learn the fundamentals of how generative AI works, and how to deploy it in real-world applications.

    my-thought-experiments/Generative-AI-with-LLMs’s past year of commit activity
    Jupyter Notebook 0 376 0 0 Updated Jul 9, 2023
  • AI-for-Everyone Public Forked from Ryota-Kawamura/AI-for-Everyone

    AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone – especially your non-technical colleagues – to take.

    my-thought-experiments/AI-for-Everyone’s past year of commit activity
    0 9 0 0 Updated Jul 8, 2023
  • LangChain-Chat-with-Your-Data Public Forked from Ryota-Kawamura/LangChain-Chat-with-Your-Data

    Start building practical applications that allow you to interact with data using LangChain and LLMs.

    my-thought-experiments/LangChain-Chat-with-Your-Data’s past year of commit activity
    Jupyter Notebook 0 42 0 0 Updated Jul 8, 2023

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