1708 Open source projects that are alternatives of or similar to Rnn_ctc

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

language model in Chinese，基于Pytorch官方文档实现

⦠ Angle: new speakable syntax for python 💡

AIOpen是一个按人工智能三要素（数据、算法、算力）进行AI开源项目分类的汇集项目，项目致力于跟踪目前人工智能（AI）的深度学习（DL）开源项目，并尽可能地罗列目前的开源项目，同时加入了一些曾经研究过的代码。通过这些开源项目，使初次接触AI的人们对人工智能（深度学习）有更清晰和更全面的了解。

A Python package for gender classification.

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

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the open-source virtual assistant for Ubuntu based Linux distributions

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Deep learning codes and projects using Python

A pytorch based end2end speech recognition system.

💬 Speech to text, using the awesome engines readily available on the device.

A small Javascript library for browser-based real-time speech recognition, which uses Recorderjs for audio capture, and a WebSocket connection to the Kaldi GStreamer server for speech recognition.

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。

Lingvo

Image Captioning: Implementing the Neural Image Caption Generator with python

An extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.

[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks

Speech Recognition model based off of FAIR research paper built using Pytorch.

My Attempt(s) In The World Of ML/DL....

Neural machine translator for English2German translation.

copper price(time series) prediction using bpnn and lstm

B.E.N.J.I.- The Impossible Missions Force's digital assistant

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A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Detecting emotions using MFCC features of human speech using Deep Learning

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

A testing server for a speech to text service based on mozilla deepspeech

Server & client for DeepSpeech using WebSockets for real-time speech recognition in separate environments

CNN, LSTM, NBOW, fasttext 中文文本分类

Python library for Reservoir Computing using Echo State Networks

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

Char-level RNN LSTM text generator📄.

Mongolian speech recognition with PyTorch

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Captcha Intruder (CIntrud3r) is an automatic pentesting tool to bypass captchas.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

验证码识别

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

A PaddlePaddle implementation of ASR.

A fully convolution-network for speech-to-text, built on pytorch.

Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字（PocketSphinx、百度 API、科大讯飞 API）和文字转语音（pyttsx3）

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

Reasoning Over Knowledge Graph Paths for Recommendation

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

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The Naomi Project is an open source, technology agnostic platform for developing always-on, voice-controlled applications!

ASR with PyTorch

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

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