Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
Projects in Awesome Lists tagged with lstm
A curated list of projects in awesome lists tagged with lstm .
https://github.com/tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
hacktoberfest lstm machine-learning ocr ocr-engine tesseract tesseract-ocr
Last synced: 16 Dec 2024
https://github.com/apachecn/AiLearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
adaboost apriori deeplearning dnn fp-growth kmeans logistic lstm mahchine-leaning naivebayes nlp pca python recommendedsystem regression rnn scikit-learn sklearn svd svm
Last synced: 29 Oct 2024
https://github.com/apachecn/ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
adaboost apriori deeplearning dnn fp-growth kmeans logistic lstm mahchine-leaning naivebayes nlp pca python recommendedsystem regression rnn scikit-learn sklearn svd svm
Last synced: 16 Dec 2024
https://github.com/JaidedAI/EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
cnn crnn data-mining deep-learning easyocr image-processing information-retrieval lstm machine-learning ocr optical-character-recognition python pytorch scene-text scene-text-recognition
Last synced: 26 Oct 2024
https://github.com/jaidedai/easyocr
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
cnn crnn data-mining deep-learning easyocr image-processing information-retrieval lstm machine-learning ocr optical-character-recognition python pytorch scene-text scene-text-recognition
Last synced: 16 Dec 2024
https://github.com/emilwallner/screenshot-to-code
A neural network that transforms a design mock-up into a static website.
cnn cnn-keras deep-learning encoder-decoder floydhub jupyter jupyter-notebook keras lstm machine-learning seq2seq
Last synced: 16 Dec 2024
https://github.com/emilwallner/Screenshot-to-code
A neural network that transforms a design mock-up into a static website.
cnn cnn-keras deep-learning encoder-decoder floydhub jupyter jupyter-notebook keras lstm machine-learning seq2seq
Last synced: 25 Oct 2024
https://github.com/ddbourgin/numpy-ml
Machine learning, in numpy
attention bayesian-inference gaussian-mixture-models gaussian-processes good-turing-smoothing gradient-boosting hidden-markov-models knn lstm machine-learning mfcc neural-networks reinforcement-learning resnet topic-modeling vae wavenet wgan-gp word2vec
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: 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/huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
deep-learning deep-learning-stock evolution-strategies learning-agents lstm lstm-sequence monte-carlo monte-carlo-markov-chain seq2seq stock-market stock-prediction-models stock-price-forecasting stock-price-prediction strategy-agent trading-bot
Last synced: 01 Nov 2024
https://github.com/huseinzol05/stock-prediction-models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
deep-learning deep-learning-stock evolution-strategies learning-agents lstm lstm-sequence monte-carlo monte-carlo-markov-chain seq2seq stock-market stock-prediction-models stock-price-forecasting stock-price-prediction strategy-agent trading-bot
Last synced: 26 Sep 2024
https://github.com/ml5js/ml5-library
Friendly machine learning for the web! 🤖
deep-learning imagenet javascript lstm machine-learning neural-network p5js p5xjs
Last synced: 27 Oct 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/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/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！
Last synced: 19 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/ub-mannheim/tesseract
Tesseract Open Source OCR Engine (main repository)
lstm ocr ocr-d ocr-d-mp tesseract-ocr windows-build
Last synced: 30 Sep 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/alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
deep-learning deep-neural-networks demand-forecasting forecasting-competitions forecasting-models lstm lstm-neural-networks prediction python3 pytorch recurrent-neural-networks sales-forecasting series-analysis series-classification series-forecasting tensorflow time-series time-series-classification time-series-forecasting time-series-prediction
Last synced: 20 Dec 2024
https://github.com/Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
deep-learning deep-neural-networks demand-forecasting forecasting-competitions forecasting-models lstm lstm-neural-networks prediction python3 pytorch recurrent-neural-networks sales-forecasting series-analysis series-classification series-forecasting tensorflow time-series time-series-classification time-series-forecasting time-series-prediction
Last synced: 30 Oct 2024
https://github.com/curiousily/getting-things-done-with-pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo
Last synced: 19 Dec 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/curiousily/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
anomaly-detection bert computer-vision coronavirus deep-learning face-detection face-recognition lstm machine-learning nlp object-detection pytorch sentiment-analysis time-series time-series-anomaly-detection time-series-forecasting transfer-learning transformer tutorial yolo
Last synced: 06 Nov 2024
https://github.com/aistream-peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
anomaly-detection deep-learning deep-neural-networks forecasting hacktoberfest lstm pytorch state-of-the-art-models time-series time-series-analysis time-series-forecasting time-series-regression transfer-learning transformer
Last synced: 19 Dec 2024
https://github.com/AIStream-Peelout/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
anomaly-detection deep-learning deep-neural-networks forecasting hacktoberfest lstm pytorch state-of-the-art-models time-series time-series-analysis time-series-forecasting time-series-regression transfer-learning transformer
Last synced: 02 Nov 2024
https://github.com/salesforce/awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
language-model lstm pytorch qrnn sgd
Last synced: 25 Sep 2024
https://github.com/rguthrie3/deeplearningfornlpinpytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
deep-learning lstm neural-network nlp pytorch tutorial
Last synced: 21 Dec 2024
https://github.com/rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
deep-learning lstm neural-network nlp pytorch tutorial
Last synced: 02 Nov 2024
https://github.com/jiesutd/ncrfpp
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
artificial-intelligence char-cnn char-rnn chunking cnn crf lstm lstm-crf named-entity-recognition natural-language-processing nbest ner neural-networks part-of-speech-tagger pytorch sequence-labeling
Last synced: 21 Dec 2024
https://github.com/jiesutd/NCRFpp
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
artificial-intelligence char-cnn char-rnn chunking cnn crf lstm lstm-crf named-entity-recognition natural-language-processing nbest ner neural-networks part-of-speech-tagger pytorch sequence-labeling
Last synced: 06 Nov 2024
https://github.com/tobegit3hub/tensorflow_template_application
TensorFlow template application for deep learning
cnn csv deep-learning inference libsvm lstm machine-learning mlp serving tensorboard tensorflow tfrecords wide-and-deep
Last synced: 20 Dec 2024
https://github.com/xiaohu2015/deeplearning_tutorials
The deeplearning algorithms implemented by tensorflow
cnn dbn deep-learning-algorithms deep-learning-tutorial lstm mlp rbm sda tensorflow
Last synced: 21 Dec 2024
https://github.com/lilianweng/stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
embeddings lstm rnn-tensorflow stock-price-prediction
Last synced: 21 Dec 2024
https://github.com/mesolitica/nlp-models-tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
attention chatbot deep-learning dnc-seq2seq embedded language-detection lstm lstm-seq2seq-tf luong-api machine-learning neural-machine-translation nlp optical-character-recognition pos-tagging speech-to-text summarization
Last synced: 26 Sep 2024
https://github.com/mesolitica/NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
attention chatbot deep-learning dnc-seq2seq embedded language-detection lstm lstm-seq2seq-tf luong-api machine-learning neural-machine-translation nlp optical-character-recognition pos-tagging speech-to-text summarization
Last synced: 06 Nov 2024
https://github.com/nlpodyssey/spago
Self-contained Machine Learning and Natural Language Processing library in Go
artificial-intelligence automatic-differentiation automatic-translation bart bert bert-as-service computation-graph deep-learning deeplearning language-model lstm machine-learning named-entities-recognition natural-language-processing neural-network nlp question-answering recurrent-networks transformer-architecture
Last synced: 19 Dec 2024
https://github.com/vivekpa/aialpha
Use unsupervised and supervised learning to predict stocks
algorithmic-trading artificial-intelligence artificial-neural-networks autoencoder lstm machine-learning python quantitative-finance stock-price-prediction trading-strategies wavelet-transform yahoo-finance-api
Last synced: 21 Dec 2024
https://github.com/VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
algorithmic-trading artificial-intelligence artificial-neural-networks autoencoder lstm machine-learning python quantitative-finance stock-price-prediction trading-strategies wavelet-transform yahoo-finance-api
Last synced: 27 Oct 2024
https://github.com/abdulfatir/twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
cnn deeplearning keras lstm machine-learning python sentiment-analysis sentiment-classification
Last synced: 21 Dec 2024
https://github.com/declare-lab/conv-emotion
This repo contains implementation of different architectures for emotion recognition in conversations.
conversational-agents conversational-ai dialogue-systems emotion-analysis emotion-recognition emotion-recognition-in-conversation lstm memory-network natural-language-processing natural-language-understanding pretrained-models pytorch sentiment-analysis
Last synced: 21 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/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/hendrikstrobelt/lstmvis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
lstm neural-network recurrent-neural-networks visualization
Last synced: 15 Dec 2024
https://github.com/HendrikStrobelt/LSTMVis
Visualization Toolbox for Long Short Term Memory networks (LSTMs)
lstm neural-network recurrent-neural-networks visualization
Last synced: 29 Oct 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/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/renovamen/speech-emotion-recognition
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
cnn lstm mlp opensmile speech-emotion-recognition svm
Last synced: 16 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/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/yongyehuang/tensorflow-tutorial
Some interesting TensorFlow tutorials for beginners.
cnn lstm tensorflow tensorflow-tutorials
Last synced: 18 Dec 2024
https://github.com/yongyehuang/Tensorflow-Tutorial
Some interesting TensorFlow tutorials for beginners.
cnn lstm tensorflow tensorflow-tutorials
Last synced: 01 Dec 2024
https://github.com/khuangaf/cryptocurrencyprediction
Predict Cryptocurrency Price with Deep Learning
bitcoin cnn cryptocurrency deep-learning final-year-project gru lstm machine-learning sklearn
Last synced: 16 Dec 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/jtkim-kaist/VAD
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
acam attention bdnn data dnn lstm speech speech-activity-detection speech-recognition vad voice-activity-detection voice-detection
Last synced: 14 Nov 2024
https://github.com/vpj/python_autocomplete
A simple neural network for python autocompletion
autocomplete lstm machine-learning python
Last synced: 20 Dec 2024
https://github.com/titu1994/lstm-fcn
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
cnn deep-learning keras lstm timeseries
Last synced: 20 Dec 2024
https://github.com/smellslikeml/ActionAI
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
classifier edgetpu human-action-recognition human-activity-recognition jetson-nano lstm machinelearning pose-estimation raspberry-pi scikit-learn tensorflow2
Last synced: 06 Nov 2024
https://github.com/pinto0309/onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
android coreml deep-learning docker keras lstm machine-learning model-converter models onnx onnx-tensorflow quantization tensorflow tensorflow-lite tfjs tflite transformer yolov9
Last synced: 19 Dec 2024
https://github.com/umbertogriffo/Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
deep-learning deep-learning-algorithms deep-neural-networks keras keras-models keras-neural-networks keras-tensorflow lstm lstm-neural-networks prediction-model predictive-maintenance timeseries
Last synced: 14 Nov 2024
https://github.com/freedomintelligence/textclassificationbenchmark
A Benchmark of Text Classification in PyTorch
attention-is-all-you-need benchmark capusle cnn cnn-classification crnn lstm lstm-sentiment-analysis pytorch quantum rcnn text-classification
Last synced: 18 Dec 2024
https://github.com/evilpsycho/deep-time-series-prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
attention bert deep-learning kaggle lstm pytorch regression seq2seq series-prediction time-series-forecasting toturial wavenet
Last synced: 21 Dec 2024
https://github.com/loudinthecloud/pytorch-ntm
Neural Turing Machines (NTM) - PyTorch Implementation
lstm neural-network neural-turing-machines notebook ntm python pytorch
Last synced: 27 Nov 2024
https://github.com/EvilPsyCHo/Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
attention bert deep-learning kaggle lstm pytorch regression seq2seq series-prediction time-series-forecasting toturial wavenet
Last synced: 28 Nov 2024
https://github.com/aqibsaeed/multilabel-timeseries-classification-with-lstm
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
deep-learning lstm multi-label-classification tensorflow time-series
Last synced: 15 Dec 2024
https://github.com/aqibsaeed/Multilabel-timeseries-classification-with-LSTM
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
deep-learning lstm multi-label-classification tensorflow time-series
Last synced: 05 Nov 2024
https://github.com/mcleavey/musical-neural-net
Train an LSTM to generate piano or violin/piano music.
lstm music music-generation piano rnn-pytorch violin
Last synced: 15 Nov 2024
https://github.com/jordicorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
crypto cryptocurrency deep-learning deep-neural-networks finance jupyter-notebook lstm lstm-model lstm-neural-networks machine-learning market-data recurrent-neural-networks stock stock-prediction stock-prices time-series yfinance
Last synced: 21 Dec 2024
https://github.com/Grzego/handwriting-generation
Implementation of handwriting generation with use of recurrent neural networks in tensorflow. Based on Alex Graves paper (https://arxiv.org/abs/1308.0850).
handwriting-generation handwriting-synthesis lstm neural-networks tensorflow
Last synced: 04 Nov 2024
https://github.com/jsn5/dancenet
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
autoencoder computer-vision generative-model keras lstm mixture-density-networks
Last synced: 27 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/weinman/cnn_lstm_ctc_ocr
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
convolutional-neural-networks ctc lstm ocr tensorflow text-recognition
Last synced: 03 Nov 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/abdur75648/deep-learning-specialization-coursera
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
andrew-ng andrew-ng-machine-learning computer-vision convolutional-neural-networks coursera deep-learning deep-learning-andrew-ng deep-learning-coursera deep-learning-specialization face-recognition lstm machine-learning neural-networks nlp object-detection recurrent-neural-networks tensorflow transformer-architecture unet-segmentation updated
Last synced: 20 Dec 2024
https://github.com/yongyehuang/zhihu-text-classification
[2017知乎看山杯 多标签 文本分类] ye组(第六名) 解题方案
han lstm multi-label tensorflow text-classification textcnn
Last synced: 16 Dec 2024
https://github.com/zhiyongc/Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
graph graph-convolutional-networks lstm traffic-flow-prediction traffic-forecasting traffic-graph-convolution traffic-prediction
Last synced: 28 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/shobrook/sequitur
Library of autoencoders for sequential data
autoencoder autoencoder-model lstm pytorch sequence time-series
Last synced: 21 Dec 2024
https://github.com/chen0040/keras-anomaly-detection
Anomaly detection implemented in Keras
anomaly-detection bidirectonal-lstm convolutional-neural-networks keras lstm recurrent-neural-networks
Last synced: 16 Dec 2024
https://github.com/watsonyanghx/CNN_LSTM_CTC_Tensorflow
CNN+LSTM+CTC based OCR implemented using tensorflow.
Last synced: 03 Nov 2024
https://github.com/skylark0924/machine-learning-is-all-you-need
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
actor-critic convolutional-neural-networks ddpg decision-trees deep-reinforcement-learning dqn gan k-nearest-neighbours keras logistic-regression lstm naive-bayes-classifier ppo pytorch qlearning random-forest resnet support-vector-machine tensorflow trpo
Last synced: 30 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/mikekeith52/scalecast
The practitioner's forecasting library
auto-ml data-science deep-learning easy-to-use forecasting keras lstm machine-learning mase msis pandas python recurrent-neural-networks scikit-learn scikit-learn-python smape time-series vecm
Last synced: 20 Dec 2024
https://github.com/yashk2810/image-captioning
Image Captioning using InceptionV3 and beam search
beam-search cnn image-captioning keras lstm tensorflow
Last synced: 17 Dec 2024
