Stars
[MICCAI'24] Stealing Knowledge from Pre-trained Language Models for Federated Classifier Debiasing
The fastest way to create an HTML app
Superduper: End-to-end framework for building custom AI applications and agents.
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
An open benchmarking platform for medical artificial intelligence using Federated Evaluation.
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
An Open Framework for Federated Learning.
Source code for the X Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
A library OS for Linux multi-process applications, with Intel SGX support
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 graphic…
Hummingbird compiles trained ML models into tensor computation for faster inference.
A framework for Privacy Preserving Machine Learning
This is Meta's fork of the CPython runtime. The name "cinder" here is historical, see https://github.com/facebookincubator/cinderx for the Python extension / JIT compiler.
OpenVINO™ integration with TensorFlow
Latex code for making neural networks diagrams
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
An educational resource to help anyone learn deep reinforcement learning.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.