986 Open source projects that are alternatives of or similar to Automatic Speech Recognition

A robot who learns how to draw

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

A speech recognition framework designed for SwiftUI.

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

HoloBot is a reusable 3D interface that allows HoloLens & VR users to interact with any bot using Mixed Reality & Speech.

LSTM and QRNN Language Model Toolkit for PyTorch

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

Cross-lingual Voice Conversion

Various CNN models for CIFAR10 with Chainer

Python toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark

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

transformer for ASR-systerm (via tensorflow2.0)

Computational Cognitive Neuroscience, Fourth Edition

List of articles related to deep learning applied to music

My personal notes, presentations, and notebooks on everything Deep Learning.

Aspect Based Sentiment Analysis using End-to-End Memory Networks

bert as language model, fork from https://github.com/google-research/bert

The CIDLib general purpose C++ development environment

An automatic ML model optimization tool.

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

package lingo provides the data structures and algorithms required for natural language processing

📝 Подборка ресурсов по машинному обучению

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

Awesome list of software that I use to do research in medical imaging.

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

Machine Learning for High Energy Physics.

A simple JavaScript neural network framework.

a sklearn wrapper for Google's BERT model

Open-Source Large Vocabulary Continuous Speech Recognition Engine

RObust document image BINarization

Scalable Implementation of Deep CFR and Single Deep CFR

Character-based word embeddings model based on RNN for handling real world texts

Kaldi model converter to ONNX

Deep Learning Toolkit for Medical Image Analysis

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

An implementation of DiscoGAN in tensorflow

Avalanche: a End-to-End Library for Continual Learning.

Alan AI Power Apps SDK adds a voice assistant or chatbot to your Microsoft Power Apps project.

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

Speech commands recognition with PyTorch

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

A collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

FastText for Node.js

基于Flask Web的中文自动语音识别演示系统,包含语音识别、语音合成、声纹识别之说话人识别。

GStreamer plugin around Kaldi's online neural network decoder

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

Frame-Recurrent Video Super-Resolution (official repository)

Load GPT-2 checkpoint and generate texts

News summarization using sequence to sequence model with attention in TensorFlow.

👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

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

SAFE: Self-Attentive Function Embeddings for binary similarity

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Distributed Deep learning with Keras & Spark

Machine Learning Resources, Practice and Research

Anomaly detection for temporal data using LSTMs