Popular GitHub Repositories for Periodic Averaging

Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function

Periodic Spatial Generative Adversarial Networks

The official code respository for "Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding" (ICLR 2024)

A simple WhatsApp bot that uses OpenAI's ChatGPT to respond to user inputs. Includes a cron to enable ChatGPT to send messages to recipients at periodic intervals.

PyTorch implementation of SCAFFOLD (Stochastic Controlled Averaging for Federated Learning, ICML 2020).

Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

Distributed Learning by Pair-Wise Averaging

Federated posterior averaging implemented in JAX

To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary conditions

Quasi-Periodic Parallel WaveGAN Pytorch implementation

Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging

An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))

The code for the paper "QuAFL: Federated Averaging Can Be Both Asynchronous and Communication-Efficient"

[COLM 2024] Early Weight Averaging meets High Learning Rates for LLM Pre-training

Quasi-Periodic WaveNet Pytorch implementation

Official code for ICML 2024 paper "An Unsupervised Approach for Periodic Source Detection in Time Series"

A federated learning simulator written in PyTorch, which supports a virtually unlimited number of clients.

Using an already existing ESRGAN model, degrading our HR images to generate training data for finetuning and further checking the MSE and PSNR for the generated and the original HR images. Link to the original link of Real ESRGAN Repo - https://github.com/xinntao/Real-ESRGAN

Using Federated Learning to train the model in Semantic Communication in pytorch