Popular GitHub Repositories for Permanent Magnet Synchronous

Easily share permanent links to ChatGPT conversations with your friends

High throughput synchronous and asynchronous reinforcement learning

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

联邦学习模块化框架，支持各类FL。A universal federated learning framework, free to switch thread and process modes

Code for Synchronous Bidirectional Neural Machine Translation (SB-NMT)

A synchronous and asynchronous API wrapper for the UberDuck text-to-speech service (https://uberduck.ai) with 100% coverage and top-notch utilities.

A Python-based solution for solving Google's reCAPTCHA v2 challenges efficiently (3-12 seconds solve time). The script supports both synchronous and asynchronous operations, with API endpoints for easy integration. Uses audio challenge method with speech recognition for reliable solving.

Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".

In this work I investigate the speech command task developing and analyzing deep learning models. The state of the art technology uses convolutional neural networks (CNN) because of their intrinsic nature of learning correlated represen- tations as is the speech. In particular I develop different CNNs trained on the Google Speech Command Dataset and tested on different scenarios. A main problem on speech recognition consists in the differences on pronunciations of words among different people: one way of building an invariant model to variability is to augment the dataset perturbing the input. In this work I study two kind of augmentations: the Vocal Tract Length Perturbation (VTLP) and the Synchronous Overlap and Add (SOLA) that locally perturb the input in frequency and time respectively. The models trained on augmented data outperforms

This GitHub repository provides an implementation of the paper "MAGNET: Multi-Label Text Classification using Attention-based Graph Neural Network" . MAGNET is a state-of-the-art approach for multi-label text classification, leveraging the power of graph neural networks (GNNs) and attention mechanisms.

Pytorch implementation for MagNet: a Two-Pronged Defense against Adversarial Examples

An optimized FastAPI server for OpenAI's Whisper whisper-large-v3-turbo model using MLX optimization

Docker image for TTS Generation ALL IN ONE

Docker image for TTS Generation ALL IN ONE

MAGNET ? is a web-based recommendation system designed to assist students in Jurusan Teknologi Informasi Politeknik Negeri Malang to finding the most suitable internship opportunities. By integrating decision-making methods such as ROC and MULTIMOORA, MAGNET provides data-driven support to help students make informed internship choices.

?Code for paper Parallelizable Complex Neural Dynamics Models for Temperature Estimation with Hardware Acceleration.

Asynchronous/Synchronous Workflow Scripting Library

TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, MAGNet, StyleTTS2, MMS, Stable Audio, Mars5, F5-TTS, ParlerTTS)

Synchronous problem-solving services.