An opinionated list of awesome Python frameworks, libraries, software and resources.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

A curated list of awesome Machine Learning frameworks, libraries and software.

TensorFlow code and pre-trained models for BERT

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

☁️ Build multimodal AI applications with cloud-native stack

Code samples for my book "Neural Networks and Deep Learning"

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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

The no-magic web API and microservices framework for Python developers, with an emphasis on reliability and performance at scale.

End-to-End Speech Processing Toolkit

A collection of machine learning examples and tutorials.

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

🧙 Build, run, and manage data pipelines for integrating and transforming data.

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

A curated list of data science blogs

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

🌊 Online machine learning in Python

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Python tools for geographic data

STUMPY is a powerful and scalable Python library for modern time series analysis

Top2Vec learns jointly embedded topic, document and word vectors.

Text preprocessing, representation and visualization from zero to hero.

A library of sklearn compatible categorical variable encoders

Extended pickling support for Python objects

Source of Explore Flask book

Interpretability and explainability of data and machine learning models