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machine-learning-from-scratch

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-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

ml-algorithms

Machine Learning algorithms

ml-design-docs

📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

mlops

mlwritingandresearch

Notebook Examples used in machine learning writing and research

obsei

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

open-webui

User-friendly WebUI for LLMs (Formerly Ollama WebUI)

pyspark-tutorial

Jupyter notebooks for pyspark tutorials given at University

ragapp

The easiest way to use Agentic RAG in any enterprise

react-chatbot

UI widget for adding a chatbot to your React UI in just a few lines of code

red_teaming

sfguide-getting-started-dataengineering-ml-snowpark-python

sfguide-intro-to-machine-learning-with-snowpark-ml-for-python

shf

shf2

sparrow

Data processing with ML and LLM

studio-demos

testing

thetha13

thethastgbot

Slack version of ThethaSTG

whyhowkg

Automated knowledge graph creation SDK