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Paving the way from the black-box to white-box deep learning by allowing interactivity during training phase
Open weights language model from Google DeepMind, based on Griffin.
A playbook for systematically maximizing the performance of deep learning models.
A port of an existing 68000 fig-Forth to the Apple Lisa
A latent text-to-image diffusion model
🧮 A collection of resources to learn mathematics for machine learning
Schelete pentru laborator și teme pentru cursul de Învățare Automată
Perform data science on data that remains in someone else's server
Connecting contributors and maintainers and helping all onboard better.
Open source code for AlphaFold 2.
Machine Learning and Artificial Intelligence for Medicine.
Companion webpage to the book "Mathematics For Machine Learning"
A place where our community can discuss OpenMined Courses, including posting questions, sharing feedback, or providing comments for discussion!
Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 300+ supported cars.
PriMIA: Privacy-preserving Medical Image Analysis
The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy
Cryptographically secure pseudorandom number generators for PyTorch
Function Secret Sharing library for Python and Rust with hardware acceleration (PETS '22)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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…
A Three Party MPC framework for Machine learning and Databases
Bayesian Data Analysis course at Aalto
All Algorithms implemented in Python
A curated list of multi party computation resources and links.