Federated posterior averaging implemented in JAX
APACHE-2.0 License
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🔨 A Flexible Federated Learning Simulator for Heterogeneous and Asynchronous.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs....
An open-source framework for machine learning and other computations on decentralized data.
Code and documentation to train Stanford's Alpaca models, and generate the data.
Differentiable Factor Graph Optimization for Learning Smoothers @ IROS 2021
Official PyTorch implementation of StyleGAN3
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning meth...
Frechet Inception Distance in JAX
Training and serving large-scale neural networks with auto parallelization.
FedNAS: Federated Deep Learning via Neural Architecture Search
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
For distributed machine learning