lordharbar

duckdb

DuckDB is an analytical in-process SQL database management system

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

dag-factory

Dynamically generate Apache Airflow DAGs from YAML configuration files

terraform-genai-rag

Deploys a Generative AI RAG solution

python-aiplatform

A Python SDK for Vertex AI, a fully managed, end-to-end platform for data science and machine learning.

generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Synapse_CoR

datacardsplaybook

The Data Cards Playbook helps dataset producers and publishers adopt a people-centered approach to transparency in dataset documentation.

ab-test-calculator

AB test calculator run through Streamlit

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

vertex-ai-samples

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

fraudfinder

Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

ml-engineer-certification

Notes on Google ML Engineer Certification

dbt_shopify

Fivetran's Shopify dbt package

pycaret

An open-source, low-code machine learning library in Python

github-actions-pytest

Example Github Actions Directory

data-augmentation-demo

Tutorial on data augmentations for ML with images and text

Bayes_Computing_Course

fastbook

The fastai book, published as Jupyter Notebooks

course-nlp

A Code-First Introduction to NLP course

ml_pocket_reference

Resources for Machine Learning Pocket Reference

Machine-Learning-Notebooks

15+ Machine/Deep Learning Projects in Ipython Notebooks

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

datasets

Datasets for ML, Analysis, etc

Data-Science--Cheat-Sheet

Cheat Sheets

watson-stock-market-predictor

A IBM Developer code pattern for Watson Studio: forecast the stock market with Python Notebooks, SPSS Modeler, Data Refinery, and other Watson Studio tools.

watson-machine-learning-model-deploy

WARNING: This repository is no longer maintained :warning: This repository will not be updated. The repository will be kept available in read-only mode. Refer to https://github.com/IBM/monitor-wml-model-with-watson-openscale for a similar example.

py_regular_expressions

Learn Python Regular Expressions step by step from beginner to advanced levels

Python-Machine-Learning-Cookbook

Code files for Python-Machine-Learning-Cookbook