Topic: lstm Goto Github

👇 Here are 5489 public repositories matching this topic...

abdulfatir / twitter-sentiment-analysis
lstm,Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
User: abdulfatir
machine-learning deeplearning sentiment-analysis sentiment-classification cnn keras python lstm

adeshpande3 / lstm-sentiment-analysis
lstm,Sentiment Analysis with LSTMs in Tensorflow
User: adeshpande3
sentiment-analysis tensorflow lstm rnn

aistream-peelout / flow-forecast
lstm,Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
Organization: aistream-peelout
Home Page: https://flow-forecast.atlassian.net/wiki/spaces/FF/overview
deep-learning pytorch time-series-forecasting time-series transfer-learning deep-neural-networks transformer forecasting lstm time-series-regression

alro10 / deep-learning-time-series
lstm,List of papers, code and experiments using deep learning for time series forecasting
User: alro10
time-series-forecasting lstm-neural-networks lstm deep-learning forecasting-models prediction python3 pytorch tensorflow series-forecasting series-classification time-series time-series-prediction time-series-classification forecasting-competitions demand-forecasting recurrent-neural-networks series-analysis sales-forecasting deep-neural-networks

apachecn / ailearning
lstm,AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Organization: apachecn
Home Page: http://ailearning.apachecn.org/
fp-growth apriori mahchine-leaning naivebayes svm adaboost kmeans svd pca logistic

bentrevett / pytorch-sentiment-analysis
lstm,Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
User: bentrevett
pytorch sentiment-analysis tutorial rnn lstm fasttext torchtext sentiment-classification cnn cnn-text-classification

bentrevett / pytorch-seq2seq
lstm,Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
User: bentrevett
pytorch seq2seq sequence-to-sequence tutorial rnn gru lstm torchtext pytorch-tutorial pytorch-implmention

blinkdl / rwkv-lm
lstm,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.
User: blinkdl
attention-mechanism deep-learning gpt gpt-2 gpt-3 language-model linear-attention lstm pytorch rnn

carpedm20 / lstm-char-cnn-tensorflow
lstm,in progress
User: carpedm20
tensorflow cnn lstm nlp

chenyuntc / pytorchtext
lstm,1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)
User: chenyuntc
Home Page: https://biendata.com/competition/zhihu/
pytorch nlp textcnn textrnn fasttext textrcnn lstm

curiousily / getting-things-done-with-pytorch
lstm,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 BERT.
User: curiousily
Home Page: https://www.mlexpert.io/
pytorch deep-learning machine-learning computer-vision object-detection face-detection face-recognition time-series time-series-forecasting coronavirus tutorial lstm anomaly-detection time-series-anomaly-detection bert sentiment-analysis transformer nlp transfer-learning yolo

ddbourgin / numpy-ml
lstm,Machine learning, in numpy
User: ddbourgin
Home Page: https://numpy-ml.readthedocs.io/
machine-learning neural-networks topic-modeling gaussian-mixture-models hidden-markov-models gradient-boosting bayesian-inference wavenet vae resnet

declare-lab / conv-emotion
lstm,This repo contains implementation of different architectures for emotion recognition in conversations.
Organization: declare-lab
dialogue-systems conversational-agents conversational-ai emotion-recognition emotion-analysis sentiment-analysis pretrained-models natural-language-processing natural-language-understanding memory-network

emilwallner / screenshot-to-code
lstm,A neural network that transforms a design mock-up into a static website.
User: emilwallner
keras deep-learning seq2seq encoder-decoder lstm floydhub machine-learning cnn cnn-keras jupyter-notebook

feross / awesome-mad-science
lstm,Delightful npm packages that make you say "wow, didn't know that was possible!"
User: feross
awesome awesome-list lstm npm javascript nodejs browser browserify mad-science

guillaume-chevalier / awesome-deep-learning-resources
lstm,Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
User: guillaume-chevalier
awesome awesome-list deep-learning machine-learning tensorflow lstm cnn

guillaume-chevalier / lstm-human-activity-recognition
lstm,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
User: guillaume-chevalier
machine-learning deep-learning lstm human-activity-recognition neural-network rnn recurrent-neural-networks tensorflow activity-recognition

hendrikstrobelt / lstmvis
lstm,Visualization Toolbox for Long Short Term Memory networks (LSTMs)
User: hendrikstrobelt
lstm neural-network visualization recurrent-neural-networks

hhtseng / video-classification
lstm,Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
User: hhtseng
action-recognition cnn lstm pytorch-tutorial resnet rnn transfer-learning ucf101 video-classification

hunkim / word-rnn-tensorflow
lstm,Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
User: hunkim
rnn tensorflow rnn-tensorflow lstm python

huseinzol05 / stock-prediction-models
lstm,Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
User: huseinzol05
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

jaidedai / easyocr
lstm,Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Organization: jaidedai
Home Page: https://www.jaided.ai
ocr deep-learning crnn pytorch lstm machine-learning scene-text scene-text-recognition optical-character-recognition cnn

jiesutd / ncrfpp
lstm,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.
User: jiesutd
pytorch ner sequence-labeling crf lstm-crf char-rnn char-cnn named-entity-recognition part-of-speech-tagger chunking

jisungk / deepjazz
lstm,Deep learning driven jazz generation using Keras & Theano!
User: jisungk
Home Page: http://deepjazz.io
deep-learning machine-learning music jazz keras theano neural-networks rnn lstm

jtkim-kaist / vad
lstm,Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
User: jtkim-kaist
acam attention bdnn data dnn lstm speech speech-activity-detection speech-recognition vad voice-activity-detection voice-detection

khuangaf / cryptocurrencyprediction
lstm,Predict Cryptocurrency Price with Deep Learning
User: khuangaf
Home Page: https://blog.goodaudience.com/predicting-cryptocurrency-price-with-tensorflow-and-keras-e1674b0dc58a
deep-learning machine-learning cryptocurrency bitcoin cnn lstm gru sklearn final-year-project

khundman / telemanom
lstm,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.
User: khundman
Home Page: https://arxiv.org/abs/1802.04431
deep-learning lstm time-series keras tensorflow kdd2018 kdd rnn anomaly-detection

lilianweng / stock-rnn
lstm,Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
User: lilianweng
Home Page: https://lilianweng.github.io/lil-log
embeddings lstm rnn-tensorflow stock-price-prediction

linxueyuanstdio / latex_ocr_pro
lstm,: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).
User: linxueyuanstdio
ocr latex deep-learning seq2seq cnn lstm rnn

lucasjinreal / tensorflow_poems
lstm,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！
User: lucasjinreal
tensorflow poetry lstm rnn

mesolitica / nlp-models-tensorflow
lstm,Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Organization: mesolitica
nlp machine-learning deep-learning lstm attention lstm-seq2seq-tf neural-machine-translation optical-character-recognition dnc-seq2seq pos-tagging

ml5js / ml5-library
lstm,Friendly machine learning for the web! 🤖
Organization: ml5js
Home Page: https://ml5js.org
lstm deep-learning imagenet machine-learning javascript neural-network p5xjs p5js

mravanelli / pytorch-kaldi
lstm,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.
User: mravanelli
speech-recognition gru dnn kaldi rnn-model pytorch timit deep-learning deep-neural-networks recurrent-neural-networks

nlpodyssey / spago
lstm,Self-contained Machine Learning and Natural Language Processing library in Go
Organization: nlpodyssey
deep-learning machine-learning natural-language-processing neural-network computation-graph automatic-differentiation artificial-intelligence deeplearning transformer-architecture recurrent-networks

renovamen / speech-emotion-recognition
lstm,Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
User: renovamen
speech-emotion-recognition lstm svm mlp opensmile cnn

rguthrie3 / deeplearningfornlpinpytorch
lstm,An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
User: rguthrie3
nlp pytorch deep-learning tutorial lstm neural-network

salesforce / awd-lstm-lm
lstm,LSTM and QRNN Language Model Toolkit for PyTorch
Organization: salesforce
lstm pytorch language-model sgd qrnn

scorpionhiccup / stockpriceprediction
lstm,Stock Price Prediction using Machine Learning Techniques
User: scorpionhiccup
Home Page: http://scorpionhiccup.github.io/StockPricePrediction
machine-learning supervised-learning stock-price-forecasting forecasting rnn lstm lstm-neural-networks video concept-video analysis

senlinuc / caffe_ocr
lstm,主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构
User: senlinuc
ocr lstm ctc res-lstm densenet

shubhomoydas / ad_examples
lstm,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.
User: shubhomoydas
ensemble-learning active-learning anomaly-detection rnn lstm explaination interpretability time-series timeseries trees

superbrucejia / eeg-dl
lstm,A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
User: superbrucejia
Home Page: https://www.nitrc.org/projects/eeg_dl_library
deep-learning eeg-classification eeg-signals-processing tensorflow motor-imagery-classification eeg-data cnn rnn gcn one-shot-learning

tensorlayer / seq2seq-chatbot
lstm,Chatbot in 200 lines of code using TensorLayer
Organization: tensorlayer
Home Page: https://github.com/tensorlayer/tensorlayer
bot chat chatbot corpus lstm nlp python rnn tensorflow tensorlayer

tesseract-ocr / tesseract
lstm,Tesseract Open Source OCR Engine (main repository)
Organization: tesseract-ocr
Home Page: https://tesseract-ocr.github.io/
hacktoberfest lstm machine-learning ocr ocr-engine tesseract tesseract-ocr

tobegit3hub / tensorflow_template_application
lstm,TensorFlow template application for deep learning
User: tobegit3hub
tensorflow tfrecords libsvm csv deep-learning machine-learning mlp cnn lstm inference

vivekpa / aialpha
lstm,Use unsupervised and supervised learning to predict stocks
User: vivekpa
artificial-intelligence artificial-neural-networks lstm machine-learning stock-price-prediction algorithmic-trading quantitative-finance autoencoder wavelet-transform yahoo-finance-api

vpj / python_autocomplete
lstm,A simple neural network for python autocompletion
User: vpj
machine-learning lstm autocomplete python

xiaohu2015 / deeplearning_tutorials
lstm,The deeplearning algorithms implemented by tensorflow
User: xiaohu2015
tensorflow deep-learning-algorithms cnn dbn deep-learning-tutorial lstm sda mlp rbm

yangwohenmai / lstm
lstm,基于LSTM的时间序列预测研究
User: yangwohenmai
forecast lstm

yongyehuang / tensorflow-tutorial
lstm,Some interesting TensorFlow tutorials for beginners.
User: yongyehuang
tensorflow tensorflow-tutorials lstm cnn

zzw922cn / automatic_speech_recognition
lstm,End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
User: zzw922cn
automatic-speech-recognition tensorflow timit-dataset feature-vector phonemes data-preprocessing rnn audio deep-learning lstm end-to-end cnn rnn-encoder-decoder evaluation paper speech-recognition layer-normalization chinese-speech-recognition