Projects in Awesome Lists tagged with rnn

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

attention-mechanism chatgpt deep-learning gpt gpt-2 gpt-3 language-model linear-attention lstm pytorch rnn rwkv transformer transformers

Last synced: 16 Dec 2024

https://github.com/BlinkDL/RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

attention-mechanism chatgpt deep-learning gpt gpt-2 gpt-3 language-model linear-attention lstm pytorch rnn rwkv transformer transformers

Last synced: 28 Oct 2024

https://github.com/blinkdl/chatrwkv

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

chatbot chatgpt language-model pytorch rnn rwkv

Last synced: 16 Dec 2024

https://github.com/BlinkDL/ChatRWKV

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

chatbot chatgpt language-model pytorch rnn rwkv

Last synced: 26 Oct 2024

https://github.com/morvanzhou/pytorch-tutorial

Build your neural network easy and fast, 莫烦Python中文教学

autoencoder batch batch-normalization classification cnn dqn dropout gan generative-adversarial-network machine-learning neural-network python pytorch pytorch-tutorial pytorch-tutorials regression reinforcement-learning rnn tutorial

Last synced: 18 Dec 2024

https://github.com/MorvanZhou/PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

autoencoder batch batch-normalization classification cnn dqn dropout gan generative-adversarial-network machine-learning neural-network python pytorch pytorch-tutorial pytorch-tutorials regression reinforcement-learning rnn tutorial

Last synced: 27 Oct 2024

https://github.com/nfmcclure/tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

classification cnn genetic-algorithm kmeans-clustering linear-regression machine-learning neural-network nlp ode packtpub regression rnn svm tensorboard tensorflow tensorflow-algorithms tensorflow-cookbook

Last synced: 17 Dec 2024

https://github.com/bentrevett/pytorch-seq2seq

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

attention cnn-seq2seq encoder-decoder encoder-decoder-model gru lstm neural-machine-translation pytorch pytorch-implementation pytorch-implmention pytorch-nlp pytorch-seq2seq pytorch-tutorial pytorch-tutorials rnn seq2seq sequence-to-sequence torchtext transformer tutorial

Last synced: 19 Dec 2024

https://github.com/timeseriesai/tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

classification cnn deep-learning fastai forecasting inceptiontime machine-learning python pytorch regression rnn rocket self-supervised sequential state-of-the-art time-series time-series-analysis time-series-classification timeseries transformer

Last synced: 17 Dec 2024

https://github.com/timeseriesAI/tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

classification cnn deep-learning fastai forecasting inceptiontime machine-learning python pytorch regression rnn rocket self-supervised sequential state-of-the-art time-series time-series-analysis time-series-classification timeseries transformer

Last synced: 30 Oct 2024

https://github.com/morvanzhou/tensorflow-tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

autoencoder classification cnn deep-q-network dqn dropout gan generative-adversarial-network machine-learning neural-network regression rnn tensorflow tensorflow-tutorials tutorial

Last synced: 19 Dec 2024

https://github.com/MorvanZhou/Tensorflow-Tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

autoencoder classification cnn deep-q-network dqn dropout gan generative-adversarial-network machine-learning neural-network regression rnn tensorflow tensorflow-tutorials tutorial

Last synced: 14 Nov 2024

https://github.com/bentrevett/pytorch-sentiment-analysis

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

bert cnn cnn-text-classification fasttext lstm lstm-sentiment-analysis natural-language-processing nlp pytorch pytorch-nlp pytorch-tutorial pytorch-tutorials recurrent-neural-networks rnn sentiment-analysis sentiment-classification torchtext transformers tutorial word-embeddings

Last synced: 19 Dec 2024

https://github.com/gaussic/text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

chinese classification cnn rnn tensorboard tensorflow text-classification

Last synced: 19 Dec 2024

https://github.com/xiph/rnnoise

Recurrent neural network for audio noise reduction

audio c noise-reduction rnn

Last synced: 17 Dec 2024

https://github.com/lucasjinreal/tensorflow_poems

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

lstm poetry rnn tensorflow

Last synced: 19 Dec 2024

https://github.com/kermitt2/grobid

A machine learning software for extracting information from scholarly documents

bibliographical-references crf deep-learning fulltext hamburger-to-cow machine-learning metadata pdf rnn scientific-articles transformers

Last synced: 17 Dec 2024

https://github.com/guillaume-chevalier/lstm-human-activity-recognition

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

activity-recognition deep-learning human-activity-recognition lstm machine-learning neural-network recurrent-neural-networks rnn tensorflow

Last synced: 20 Dec 2024

https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition

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

activity-recognition deep-learning human-activity-recognition lstm machine-learning neural-network recurrent-neural-networks rnn tensorflow

Last synced: 28 Oct 2024

https://github.com/dsksd/deepnlp-models-pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

cs-224n deep-learning deep-nlp-models natural-language-processing neural-network nlp pytorch rnn stanford-univ

Last synced: 20 Dec 2024

https://github.com/DSKSD/DeepNLP-models-Pytorch

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

cs-224n deep-learning deep-nlp-models natural-language-processing neural-network nlp pytorch rnn stanford-univ

Last synced: 25 Oct 2024

https://github.com/jisungk/deepjazz

Deep learning driven jazz generation using Keras & Theano!

deep-learning jazz keras lstm machine-learning music neural-networks rnn theano

Last synced: 21 Dec 2024

https://github.com/zzw922cn/automatic_speech_recognition

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

audio automatic-speech-recognition chinese-speech-recognition cnn data-preprocessing deep-learning end-to-end evaluation feature-vector layer-normalization lstm paper phonemes rnn rnn-encoder-decoder speech-recognition tensorflow timit-dataset

Last synced: 20 Dec 2024

https://github.com/zzw922cn/Automatic_Speech_Recognition

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

audio automatic-speech-recognition chinese-speech-recognition cnn data-preprocessing deep-learning end-to-end evaluation feature-vector layer-normalization lstm paper phonemes rnn rnn-encoder-decoder speech-recognition tensorflow timit-dataset

Last synced: 03 Nov 2024

https://github.com/mravanelli/pytorch-kaldi

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.

asr deep-learning deep-neural-networks dnn dnn-hmm gru kaldi lstm lstm-neural-networks multilayer-perceptron-network pytorch recurrent-neural-networks rnn rnn-model speech speech-recognition timit

Last synced: 21 Dec 2024

https://github.com/github/CodeSearchNet

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

bert cnn data data-science datasets deep-learning machine-learning machine-learning-on-source-code ml natural-language-processing neural-networks nlp nlp-machine-learning open-data programming-language-theory python representation-learning rnn self-attention tensorflow

Last synced: 24 Oct 2024

https://github.com/github/codesearchnet

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

bert cnn data data-science datasets deep-learning machine-learning machine-learning-on-source-code ml natural-language-processing neural-networks nlp nlp-machine-learning open-data programming-language-theory python representation-learning rnn self-attention tensorflow

Last synced: 26 Sep 2024

https://github.com/golbin/TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

autoencoder chatbot cnn deep-learning dqn gan inception mnist neural-network rnn seq2seq tensorflow tutorial word2vec

Last synced: 12 Nov 2024

https://github.com/golbin/tensorflow-tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

autoencoder chatbot cnn deep-learning dqn gan inception mnist neural-network rnn seq2seq tensorflow tutorial word2vec

Last synced: 20 Dec 2024

https://github.com/Arturus/kaggle-web-traffic

1st place solution

cocob cudnn kaggle kaggle-web-traffic rnn rnn-encoder-decoder seq2seq tensorflow time-series timeseries

Last synced: 31 Oct 2024

https://github.com/nx-ai/xlstm

Official repository of the xLSTM.

deep-learning deep-learning-architecture llm machine-learning nlp rnn

Last synced: 18 Dec 2024

https://github.com/scorpionhiccup/stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

analysis concept-video forecasting lstm lstm-neural-networks machine-learning rnn stock-price-forecasting supervised-learning video

Last synced: 21 Dec 2024

https://github.com/omarsar/nlp_overview

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

cnn deep-learning nlp reinforcement-learning rnn word-embeddings

Last synced: 15 Dec 2024

https://github.com/ddz16/TSFpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

deep-learning deep-neural-networks paper-lists rnn spatial-temporal-forecasting spatio-temporal spatio-temporal-data spatio-temporal-prediction tcn time-series time-series-analysis time-series-forecasting time-series-models time-series-prediction transformer

Last synced: 12 Nov 2024

https://github.com/ddz16/tsfpaper

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

deep-learning deep-neural-networks paper-lists rnn spatial-temporal-forecasting spatio-temporal spatio-temporal-data spatio-temporal-prediction tcn time-series time-series-analysis time-series-forecasting time-series-models time-series-prediction transformer

Last synced: 02 Dec 2024

https://github.com/hunkim/word-rnn-tensorflow

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

lstm python rnn rnn-tensorflow tensorflow

Last synced: 22 Dec 2024

https://github.com/chickenbestlover/rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

anomaly-detection forecast neural-network prediction rnn time-series

Last synced: 16 Dec 2024

https://github.com/chickenbestlover/RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

anomaly-detection forecast neural-network prediction rnn time-series

Last synced: 02 Nov 2024

https://github.com/linxueyuanstdio/latex_ocr_pro

:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).

cnn deep-learning latex lstm ocr rnn seq2seq

Last synced: 19 Dec 2024

https://github.com/tgjeon/tensorflow-tutorials-for-time-series

TensorFlow Tutorial for Time Series Prediction

rnn series-prediction tensorflow-tutorials

Last synced: 16 Dec 2024

https://github.com/LinXueyuanStdio/LaTeX_OCR_PRO

:art: 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).

cnn deep-learning latex lstm ocr rnn seq2seq

Last synced: 08 Nov 2024

https://github.com/khundman/telemanom

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.

anomaly-detection deep-learning kdd kdd2018 keras lstm rnn tensorflow time-series

Last synced: 15 Dec 2024

https://github.com/adeshpande3/lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

lstm rnn sentiment-analysis tensorflow

Last synced: 16 Dec 2024

https://github.com/superbrucejia/eeg-dl

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

attention-mechanism cnn deep-learning densenet eeg-classification eeg-data eeg-signals-processing fully-convolutional-networks gcn graph-convolutional-neural-networks gru lstm motor-imagery-classification one-shot-learning residual-learning resnet rnn tensorflow transformer transformers

Last synced: 17 Dec 2024

https://github.com/nivu/ai_all_resources

A curated list of Best Artificial Intelligence Resources

artificial-intelligence convolutional-neural-networks data-science decision-trees deep-learning gan kmeans knn machine-learning mathematics neural-networks python random-forest regression reinforcement-learning rnn statistics statquest support-vector-machine tensorflow

Last synced: 02 Nov 2024

https://github.com/huawei-noah/bolt

Bolt is a deep learning library with high performance and heterogeneous flexibility.

android arm bolt caffe cnn cv deep-learning high-performance huawei inference ios mali mobile nlp noah onnx rnn tensorflow x86

Last synced: 20 Dec 2024

https://github.com/HHTseng/video-classification

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

action-recognition cnn lstm pytorch-tutorial resnet rnn transfer-learning ucf101 video-classification

Last synced: 06 Nov 2024

https://github.com/SuperBruceJia/EEG-DL

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

attention-mechanism cnn deep-learning densenet eeg-classification eeg-data eeg-signals-processing fully-convolutional-networks gcn graph-convolutional-neural-networks gru lstm motor-imagery-classification one-shot-learning residual-learning resnet rnn tensorflow transformer transformers

Last synced: 06 Nov 2024

https://github.com/shubhomoydas/ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

active-learning adversarial-attacks anogan anomaly-detection autoencoder concept-drift ensemble-learning explaination gan generative-adversarial-network graph-convolutional-networks interpretability lstm nettack rnn streaming time-series timeseries trees unsuperivsed

Last synced: 27 Oct 2024

https://github.com/tensorlayer/seq2seq-chatbot

Chatbot in 200 lines of code using TensorLayer

bot chat chatbot corpus lstm nlp python rnn tensorflow tensorlayer

Last synced: 18 Dec 2024

https://github.com/ragulpr/wtte-rnn

WTTE-RNN a framework for churn and time to event prediction

churn-prediction failure-rate keras machine-learning-algorithms neural-network rnn tensorflow weibull

Last synced: 15 Dec 2024

https://github.com/ilivans/tf-rnn-attention

Tensorflow implementation of attention mechanism for text classification tasks.

attention rnn sentiment-analysis tensorflow text-classification

Last synced: 16 Nov 2024

https://github.com/maximumentropy/seq2seq-pytorch

Sequence to Sequence Models with PyTorch

deep-learning pytorch rnn seq2seq

Last synced: 21 Dec 2024

https://github.com/emilwallner/how-to-learn-deep-learning

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

cnn deep-learning machine-learning rnn tflearn

Last synced: 10 Dec 2024

https://github.com/hankcs/cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cs224n deep-learning natural-language-processing rnn tensorflow word2vec

Last synced: 21 Dec 2024

https://github.com/ratschlab/RGAN

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

arxiv gan medical mnist paper rnn time-series

Last synced: 12 Nov 2024

https://github.com/udibr/headlines

Automatically generate headlines to short articles

generation keras nlp rnn summarization

Last synced: 27 Nov 2024

https://github.com/theamrzaki/text_summurization_abstractive_methods

Multiple implementations for abstractive text summurization , using google colab

abstractive-text-summarization ai artificial-intelligence deep-learning deeplearning encoder-decoder google-colab google-colaboratory machine-learning machinelearning nlp pointer-generator policy-gradient reinforcement-learning rnn seq2seq tensorflow text-summarization word2vec

Last synced: 19 Nov 2024

https://github.com/duheng/mozi

此项目致力于构建一套最基础，最精简，可维护的react-native项目，支持ios，android 🌹

es6 eslint prettier-eslint react react-native react-native-app react-native-demo react-native-demo-app react-native-navigation react-navigation react-navigation-demo react-navigation-redux react-redux reactjs rnn

Last synced: 21 Dec 2024

https://github.com/batzner/indrnn

TensorFlow implementation of Independently Recurrent Neural Networks

indrnn paper-implementations rnn tensorflow

Last synced: 15 Dec 2024

https://github.com/fancompute/wavetorch

🌊 Numerically solving and backpropagating through the wave equation

differential-equations pytorch recurrent-neural-network rnn time-series vowel-recognition wave-equation

Last synced: 14 Nov 2024

https://github.com/aspirincode/papers-for-molecular-design-using-dl

List of molecular design using Generative AI and Deep Learning

deep-generative-models diffusion drug-design energy-based-model gan generative-ai gnns lstm molecular-design prompt-learning reinforcement-learning rnn score-based-generative-models transformer vae

Last synced: 01 Dec 2024

https://github.com/AspirinCode/papers-for-molecular-design-using-DL

List of molecular design using Generative AI and Deep Learning

deep-generative-models diffusion drug-design energy-based-model gan generative-ai gnns lstm molecular-design prompt-learning reinforcement-learning rnn score-based-generative-models transformer vae

Last synced: 26 Oct 2024

https://github.com/pyaf/load_forecasting

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

arima electric-load-forecasting gru lstm machine-learning rnn ses sma time-series-forecasting wma

Last synced: 03 Nov 2024

https://github.com/thushv89/attention_keras

Keras Layer implementation of Attention for Sequential models

deep-learning keras lstm rnn tensorflow

Last synced: 07 Nov 2024

https://github.com/omerbsezer/fast-pytorch

Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes

cnn cnn-pytorch colab-notebook colab-tutorial colaboratory computer-vision deep-learning machine-learning mlp python pytorch pytorch-implementation pytorch-tutorial rnn rnn-pytorch transfer-learning

Last synced: 16 Dec 2024

https://github.com/crazydonkey200/tensorflow-char-rnn

Char-RNN implemented using TensorFlow.

recurrent-neural-networks rnn rnn-tensorflow tensorflow

Last synced: 10 Nov 2024

https://github.com/0x454447415244/HandwritingRecognitionSystem

Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

cnn deep-learning handwriting-recognition machine-learning rnn tensorflow

Last synced: 06 Nov 2024

https://github.com/kk7nc/rmdl

RMDL: Random Multimodel Deep Learning for Classification

classification cnn convolutional-neural-networks data-mining deep-learning deep-neural-networks dnn ensemble-learning image-classification information-retrieval keras machine-learning multimodel recurrent-neural-networks rnn tensorflow text-classification text-mining

Last synced: 18 Dec 2024

https://github.com/Holmeyoung/crnn-pytorch

Pytorch implementation of CRNN (CNN + RNN + CTCLoss) for all language OCR.

cnn ctc-loss ocr rnn

Last synced: 04 Nov 2024

https://github.com/crazydonkey200/neural-symbolic-machines

Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.

deep-learning deep-reinforcement-learning program-synthesis reinforcement-learning rnn semantic-parsing tensorflow

Last synced: 20 Nov 2024

https://github.com/jhhuang96/ConvLSTM-PyTorch

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

convgru convlstm encoder-decoder gru lstm pytorch-implementation rnn spatio-temporal time-series

Last synced: 31 Oct 2024

https://github.com/posenhuang/deeplearningsourceseparation

Deep Recurrent Neural Networks for Source Separation

audio-separation deep-learning matlab rnn source-separation speech-denoising speech-separation

Last synced: 16 Dec 2024

https://github.com/amanchadha/iseebetter

cnn convolutional-neural-network convolutional-neural-networks gan gans generative-adversarial-network psnr pytorch recurrent-neural-networks residual-networks resnet resnets rnn self-supervised-learning srgan ssim super-resolution unsupervised-learning video-processing video-super-resolution

Last synced: 15 Dec 2024

https://github.com/tirthajyoti/deep-learning-with-python

Deep learning codes and projects using Python

artificial-intelligence cnn computer-vision convolutional-neural-networks deep-learning generative-adversarial-network google-colab image-classification keras machine-learning neural-networks object-detection recurrent-neural-networks resnet rnn vgg16

Last synced: 16 Dec 2024

https://github.com/mquad/sars_tutorial

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

jupyter-notebook machine-learning recommender recommender-systems rnn sequence sequence-modeling tutorial

Last synced: 11 Nov 2024

https://github.com/barqawiz/shakkala

Deep learning for AR text Vocalization - التشكيل الالي للنصوص العربية

arabic-nlp deep-learning lstm rnn

Last synced: 21 Dec 2024

https://github.com/Barqawiz/Shakkala

Deep learning for AR text Vocalization - التشكيل الالي للنصوص العربية

arabic-nlp deep-learning lstm rnn

Last synced: 14 Nov 2024

https://github.com/Conchylicultor/MusicGenerator

Experiment diverse Deep learning models for music generation with TensorFlow

deep-learning music-generation rnn tensorflow

Last synced: 19 Nov 2024

https://github.com/conchylicultor/musicgenerator

Experiment diverse Deep learning models for music generation with TensorFlow

deep-learning music-generation rnn tensorflow

Last synced: 17 Dec 2024

https://github.com/guillaume-chevalier/HAR-stacked-residual-bidir-LSTMs

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

bidirectional-lstm-cells human-activity-recognition lstm residual-layers residual-lstm-cells rnn stacked-layers tensorflow

Last synced: 06 Nov 2024

https://github.com/guillaume-chevalier/har-stacked-residual-bidir-lstms

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

bidirectional-lstm-cells human-activity-recognition lstm residual-layers residual-lstm-cells rnn stacked-layers tensorflow

Last synced: 16 Dec 2024

https://github.com/haoxiangsnr/A-Convolutional-Recurrent-Neural-Network-for-Real-Time-Speech-Enhancement

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

cnn cnn-rnn pytorch real-time rnn speech-enhancement speech-processing

Last synced: 22 Nov 2024

https://github.com/lucianodato/speech-denoiser

A speech denoise lv2 plugin based on RNNoise library

audio lv2 lv2-plugin noise-reduction rnn speech xiph

Last synced: 20 Dec 2024

https://github.com/zhongkaifu/rnnsharp

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.

c-sharp crf deep-learning dotnet lstm machine-learning nlp recurrent-neural-networks rnn rnn-model sequence-labeling

Last synced: 20 Nov 2024

https://github.com/zhongkaifu/RNNSharp

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.

c-sharp crf deep-learning dotnet lstm machine-learning nlp recurrent-neural-networks rnn rnn-model sequence-labeling