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

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.

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

speech-to-text in pytorch

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

using rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc

Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge

A Keras library for multi-step time-series forecasting.

Haste: a fast, simple, and open RNN library

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

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

Recurrent Additive Networks for Tensorflow

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Deep Learning

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

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

百度云魅族深度学习应用大赛

Lightweight C++11 library for building deep recurrent neural networks

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)

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

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

The Official Deep Learning Framework for Route-based Place Recognition

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

RNN benchmarks of pytorch, tensorflow and theano

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Deep learning driven jazz generation using Keras & Theano!

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

🔬 Nano size Theano LSTM module

Part-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN

Keras tutorial for beginners (using TF backend)

CNN+LSTM+CTC based OCR implemented using tensorflow.

⚡️ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Some of the ML and DL related reading materials, research papers that I've read

The official repository of the Eesen project

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

Application of machine learning to the Coinbase (GDAX) orderbook

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Tensorflow-based CNN+LSTM trained with CTC-loss for OCR

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

PyTorch tutorial for learners

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Word Embedding + LSTM + FC

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

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。