📚 Freely available programming books

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

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

Developer-first error tracking and performance monitoring

the only cheat sheet you need

Federated query engine for AI - The only MCP Server you'll ever need

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…

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Privacy-respecting metasearch engine

TensorFlow-based neural network library

Perform data science on data that remains in someone else's server

Nginx configuration static analyzer

Flower: A Friendly Federated AI Framework

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

An Industrial Grade Federated Learning Framework

Build Graph Nets in Tensorflow

JAX-based neural network library

Data for this-week-in-rust.org

A Python package to assess and improve fairness of machine learning models.

Library for training machine learning models with privacy for training data

🔐 multi factor authentication system (2FA, MFA, OTP, FIDO Server)

A framework for Privacy Preserving Machine Learning

DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/

A Framework for Encrypted Machine Learning in TensorFlow

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

Platform to audit trackers used by Android application

Sharing Updatable Models (SUM) on Blockchain

The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

TorchANI 2.0 is an open-source library that supports training, development, and research of ANI-style neural network interatomic potentials. It was originally developed and is currently maintained …

Compiled, automatically parallel Python for data science