6806 Open source projects that are alternatives of or similar to Nmtpytorch

This toolbox is support material for the book on CNN (http://www.convolution.network).

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.

Try to use tf.estimator and tf.data together to train a cnn model.

keras를 이용한 딥러닝 기초 학습

CNN for intent classification task in a Chatbot

Detecting emotions using MFCC features of human speech using Deep Learning

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Production First and Production Ready End-to-End Speech Recognition Toolkit

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

Datasets, tools, and benchmarks for representation learning of code.

A End to End CNN Model which predicts the steering wheel angle based on the video/image

All about Neural Networks!

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

1st place solution

Using Keras and cats to visualize layers from CNNs

PyTorch implementation of SIFT descriptor

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

INTERSPEECH 2019 Tutorial Materials

lidc nodule detection with CNN and LSTM network

Object classification with CIFAR-10 using transfer learning

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

Deep learning codes and projects using Python

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

An application that demostrate the usage of Syn.Speech library for Speech Recognition

A minimal nmt example to serve as an seq2seq+attention reference.

PyTorch Implementation of Deformable Convolution

Try out deep learning models online on Google Colab

No description or website provided.

A live speech recognition using Facebooks wav2vec 2.0 model.

On-device speech-to-text engine powered by deep learning

A repo listing known open source voice tools, ordered by where they sit in the voice stack

A merged version of multiple open-source German speech datasets.

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

Spokestack: give your iOS app a voice interface!

Modular and extensible speech recognition library leveraging pytorch-lightning and hydra.

SDKs and docs for Skit's speech to text service

End-to-end speech recognition on AISHELL dataset.

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

Neural machine translation implementation using dynet's python bindings

Rust re-implementation of OpenFST - library for constructing, combining, optimizing, and searching weighted finite-state transducers (FSTs). A Python binding is also available.

Long audio alignment using Kaldi

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

Speech Recognition in Asterisk with Vosk Server

Neutron: A pytorch based implementation of Transformer and its variants.

Vietnamese Speech Recognition

SOVA ASR (Automatic Speech Recognition)

Automatic Speech Recognition in Unity.

Offline speech recognition for Android with Vosk library.

Auto Segmentation Criterion (ASG) implemented in pytorch

📚 嵌入式系统基础知识与主流编程语言相关内容总结

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Image Captioning using InceptionV3 and beam search

WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries

A list of Neural MT implementations

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

Tutorials for TensorFlow APIs the official documentation doesn't cover