Popular GitHub Repositories for Additive Synthesizer

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

NVIDIA Deep learning Dataset Synthesizer (NDDS)

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.

Additive manufacturing simulation with JAX.

PyTorch implementation of Additive Angular Margin Loss for Deep Face Recognition.

Official PyTorch implementation of TATS: A Long Video Generation Framework with Time-Agnostic VQGAN and Time-Sensitive Transformer (ECCV 2022)

ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.

Tensoflow implementation of InsightFace (ArcFace: Additive Angular Margin Loss for Deep Face Recognition).

{mvgam} R ? to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

An implementation of Additive Attention

This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention etc in Pytorch, Tensorflow, Keras

A library to generate synthetic tabular or RDF data using Conditional Generative Adversary Networks (GANs) combined with Differential Privacy techniques.

A simplified PyTorch implementation of GANsynth

Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch

This add-on implements a speech synthesizer driver for NVDA using neural TTS models. It supports Piper

A GAN to generate preset banks for famous and free VST plugin Synth1