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30-days-of-python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

academy

Ray tutorials from Anyscale

arnheim

atsaf

Applied Time Series Analysis and Forecasting

awesome-artificial-intelligence-guidelines

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

bamboolib

bamboolib - a GUI for pandas DataFrames

beginner-projects

👶 A list of projects for beginners.

bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

big_transfer

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

bitcoin-price-prediction-lstm

causalpy

A Python package for causal inference in quasi-experimental settings

chatgpt-advanced

A browser extension that augments your ChatGPT prompts with web results.

cool-quick-readings

create-react-app

Set up a modern web app by running one command.

dall-e

PyTorch package for the discrete VAE used for DALL·E.

data-science--cheat-sheet

Cheat Sheets

docs

TensorFlow documentation

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal in

elyra

Elyra extends JupyterLab Notebooks with an AI centric approach.

flutter-course-resources

Learn to Code While Building Apps - The Complete Flutter Development Bootcamp

former

Simple transformer implementation from scratch in pytorch.

gfpgan

handbook

python software house

high-dim-ts-medium

Deep Learning for High-Dimensional Time Series

k-means-clustering

Implementation of the kmeans-clustering algorithm using multithreading, both in C++ and Python

keybert

Minimal keyword extraction with BERT

le-store

learn-python

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.