994 Open source projects that are alternatives of or similar to Speech-Recognition

My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

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

rnn trained on r/totallynotrobots 🤖

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

A siamese LSTM to detect sentence/question pairs.

中文古诗自动作诗机器人，屌炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Keras tutorial for beginners (using TF backend)

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.

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Chatbot in 200 lines of code using TensorLayer

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

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

Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

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

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

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

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

Sentiment Analysis with LSTMs in Tensorflow

PyTorch implementation of "Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss" (ICASSP 2020)

CNN, LSTM, NBOW, fasttext 中文文本分类

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

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

All my experiments with AI and ML

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

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)

Deep Learning

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Chinese Poetry Generation

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

A cute multi-layer LSTM that can perform like a human 🎶

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

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Reasoning Over Knowledge Graph Paths for Recommendation

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

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Nested LSTM Cell

Efficient, transparent deep learning in hundreds of lines of code.

Deep learning driven jazz generation using Keras & Theano!

基于RNN生成古诗

End-to-End Speech Processing Toolkit

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

transformer for ASR-systerm (via tensorflow2.0)

Korean speech recognition based on transformer (트랜스포머 기반 한국어 음성 인식)

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

End-to-End Automatic Speech Recognition on PyTorch

Facebook AI Research's Automatic Speech Recognition Toolkit

Hands-on in-person workshop for Deep Learning with TensorFlow

Recurrent Additive Networks for Tensorflow

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

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

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Enhanced BiLSTM Inference Model for Natural Language Inference

LSTM based human activity recognition using smart phone sensor dataset

RNN-LSTM that learns passwords from a starting list