Repository Index

The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

• 30-days-of-python
• python
• flask
• github

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

• ray
• distributed
• parallel
• machine-learning

💫 Industrial-strength Natural Language Processing (NLP) in Python

• natural-language-processing
• data-science
• machine-learning
• python

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

• deep-learning
• machine-learning
• book
• notebook

Topic Modelling for Humans

• gensim
• topic-modeling
• information-retrieval
• machine-learning

Low-code framework for building custom LLMs, neural networks, and other AI models

• deep-learning
• deeplearning
• deep
• learning

Fast and Accurate ML in 3 Lines of Code

• automl
• machine-learning
• data-science
• deep-learning

moDel Agnostic Language for Exploration and eXplanation

• machine-learning
• interpretability
• data-science
• xai

High-assurance AI data visualization IDE & analytics workbench. Natural language to charts with local ground-truth table verification.

• ai-analytics
• data-analysis
• data-visualization
• duckdb

The Harmony Python library: a research tool for psychologists to harmonise data and questionnaire items. Open source.

• data-harmonization
• data-science
• depression
• harmonisation