1312 Open source projects that are alternatives of or similar to Speechbrain.github.io

A curated list of research papers and resources on code-switching

An Android ChatBot powered by Watson Services - Assistant, Speech-to-Text and Text-to-Speech on IBM Cloud.

A tool for retrosynthetic planning

Apparel detection using deep learning

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

Speaker independent emotion recognition

Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.

Season 2 of @twosigma's artificial intelligence programming challenge

A Graphical user Interface for deep learning and computer vision over Monk Libraries

AutoML frAmework for Neural Networks

A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

Acceleration package for neural networks on multi-core CPUs

Deep neural network based speech enhancement toolkit

Speech synthesis for ESP8266 using S.A.M. port

An open source library for artificial neural networks.

A reproduction of growing neural cellular automata using PyTorch.

Golang framework to build an AI that can understand and speak back to you, and everything else you want

Speed to text in Unity iOS use Native Speech Recognition

Neural speaker recognition/verification system based on Kaldi and Tensorflow

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution

Learn to Build a Machine Learning Application from Top Articles

The author's officially unofficial PyTorch BigGAN implementation.

Lightwood is Legos for Machine Learning.

Keras community contributions

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

A robot who learns how to draw

🐸STT - a deep learning toolkit for Speech-to-Text, battle-tested in research and production

Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.

RadIO is a library for data science research of computed tomography imaging

Autodifferentiation package in Rust.

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

Code for "A-NICE-MC: Adversarial Training for MCMC"

MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks

Sparse and structured neural attention mechanisms

A pure python module for reading and writing kaldi ark files

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Deep neural networks for predicting CpG methylation

🐸 collection of TTS papers

A Kotlin Speech Recognizer that runs continuously and is triggered with an activation keyword

Xaynet represents an agnostic Federated Machine Learning framework to build privacy-preserving AI applications.

Dilated CNNs for NER in TensorFlow

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

SAFE: Self-Attentive Function Embeddings for binary similarity

Implementation of "Duration Informed Attention Network for Multimodal Synthesis" (https://arxiv.org/pdf/1909.01700.pdf) paper.

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Distributed Deep learning with Keras & Spark

Machine Learning Resources, Practice and Research

Deep Learning for Seismic Imaging and Interpretation

INTERSPEECH 2019 Tutorial Materials

The state-of-art PyTorch implementation of the method described in the paper "LipNet: End-to-End Sentence-level Lipreading" (https://arxiv.org/abs/1611.01599)

A single / multi layer / recurrent neural network written in Golang.

A general, modular, and programmable architecture search framework

Automatic Differentiation Library for Computational and Mathematical Engineering

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

Pretrained TorchVision models on CIFAR10 dataset (with weights)

✨Fast Coreference Resolution in spaCy with Neural Networks