divyashie

meta-frontend-cert

Source: https://third-bit.com/js4ds/#s:legacy-iteration

mvp

MVP.css — Minimalist classless CSS stylesheet for HTML elements

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

ugly-sweater

Personalized sweater using NLP & generative AI

byof

semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

python-tasks

This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-tasks

coding-competitions-archive

Google Coding Competitions problem archive

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

openai-python

The official Python library for the OpenAI API

python-datastore

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

metaflow

:rocket: Build and manage real-life ML, AI, and data science projects with ease!

Story

My masterpiece

reflex

🕸️ Web apps in pure Python 🐍

ng-video-lecture

folly

An open-source C++ library developed and used at Facebook.

data-engineering-zoomcamp

Free Data Engineering course!

python-texttospeech

This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-texttospeech

datahub

The Metadata Platform for your Data Stack

python-dialogflow

This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-dialogflow

openai-cookbook

Examples and guides for using the OpenAI API

ugly-sweater

Personalized sweater using NLP & generative AI

d2l-en

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

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Data-Science-Cheatsheet

A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Interviews