rnn

There are 19 repositories under rnn topic.

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
Language:Python 33538
Mikoto10032 / DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
deeplearning cnn rnn gan machine-learning tensorflow mxnet deep-learning machinelearning pytorch gcn kaggle
Language:Jupyter Notebook 7930
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
Language:Jupyter Notebook 6843
nfmcclure / tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
tensorflow tensorflow-cookbook linear-regression neural-network tensorflow-algorithms rnn cnn svm nlp packtpub machine-learning tensorboard classification regression kmeans-clustering genetic-algorithm ode
Language:Jupyter Notebook 6027
MorvanZhou / Tensorflow-Tutorial
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
tensorflow tensorflow-tutorials gan generative-adversarial-network rnn cnn classification regression autoencoder deep-q-network dqn machine-learning tutorial dropout neural-network
Language:Python 4202
bentrevett / pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
pytorch seq2seq sequence-to-sequence tutorial rnn gru lstm torchtext pytorch-tutorial pytorch-implmention encoder-decoder encoder-decoder-model neural-machine-translation pytorch-seq2seq attention transformer cnn-seq2seq pytorch-implementation pytorch-tutorials pytorch-nlp
Language:Jupyter Notebook 3905
gaussic / text-classification-cnn-rnn
CNN-RNN中文文本分类，基于TensorFlow
chinese classification cnn rnn tensorboard tensorflow text-classification
Language:Python 3743
bentrevett / pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
pytorch sentiment-analysis tutorial rnn lstm fasttext torchtext sentiment-classification cnn cnn-text-classification lstm-sentiment-analysis pytorch-tutorial pytorch-tutorials pytorch-nlp nlp natural-language-processing recurrent-neural-networks word-embeddings transformers bert
Language:Jupyter Notebook 3516
jinfagang / tensorflow_poems
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！
tensorflow poetry lstm rnn
Language:Python 3504
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
machine-learning deep-learning lstm human-activity-recognition neural-network rnn recurrent-neural-networks tensorflow activity-recognition
Language:Jupyter Notebook 3016
DSKSD / DeepNLP-models-Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
pytorch nlp deep-nlp-models stanford-univ rnn neural-network deep-learning cs-224n natural-language-processing
Language:Jupyter Notebook 2842
jisungk / deepjazz
Deep learning driven jazz generation using Keras & Theano!
deep-learning machine-learning music jazz keras theano neural-networks rnn lstm
Language:Python 2801
zzw922cn / Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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
Language:Python 2774
xiph / rnnoise
Recurrent neural network for audio noise reduction
audio c noise-reduction rnn
Language:C 2571
zzw922cn / awesome-speech-recognition-speech-synthesis-papers
Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)
automatic-speech-recognition papers roadmap rnn cnn dnn attention-mechanism seq2seq acoustic-model timit-dataset tts language-model speaker-verification speech-recognition speech-synthesis neural-network recognition-synthesis diffusion-models singing-voice-synthesis voice-conversion
2280
pytorch-kaldi
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.
speech-recognition gru dnn kaldi rnn-model pytorch timit deep-learning deep-neural-networks recurrent-neural-networks multilayer-perceptron-network lstm lstm-neural-networks speech asr rnn dnn-hmm
Language:Python 2192
timeseriesAI / tsai
Time series Timeseries Deep Learning Machine Learning 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
Language:Jupyter Notebook 2181
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
Language:Python 2107
Arturus / kaggle-web-traffic
1st place solution
kaggle-web-traffic kaggle time-series timeseries rnn-encoder-decoder rnn tensorflow cudnn cocob seq2seq
Language:Jupyter Notebook 1698
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
Language:Jupyter Notebook 1642
PaddlePaddle / awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
bert classification cnn detection dqn dssm dynabert gan nlp pose recommender-system reinforcement-learning rnn sarsa segmentation tinybert transformer video
Language:Jupyter Notebook 1595
hunkim / word-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
rnn tensorflow rnn-tensorflow lstm python
Language:Python 1299
jasonwei20 / eda_nlp
Data augmentation for NLP, presented at EMNLP 2019
classification cnn data-augmentation embeddings nlp position rnn sentence swap synonyms text-classification
Language:Python 1282
nlp_overview
omarsar / nlp_overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
nlp deep-learning word-embeddings cnn rnn reinforcement-learning
Language:CSS 1242
tgjeon / TensorFlow-Tutorials-for-Time-Series
TensorFlow Tutorial for Time Series Prediction
tensorflow-tutorials series-prediction rnn
Language:Jupyter Notebook 1090
adeshpande3 / LSTM-Sentiment-Analysis
Sentiment Analysis with LSTMs in Tensorflow
sentiment-analysis tensorflow lstm rnn
Language:Jupyter Notebook 931
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
Language:Jupyter Notebook 920
chickenbestlover / RNN-Time-series-Anomaly-Detection
RNN based Time-series Anomaly detector model implemented in Pytorch.
rnn neural-network anomaly-detection time-series prediction forecast
Language:Python 889
AI-For-Beginners
microsoft / AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
ai artificial-intelligence cnn computer-vision deep-learning gan machine-learning nlp rnn
Language:Jupyter Notebook 855
tensorlayer / seq2seq-chatbot
Chatbot in 200 lines of code using TensorLayer
tensorlayer tensorflow chatbot rnn lstm bot nlp chat corpus python
Language:Python 806
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.
deep-learning lstm time-series keras tensorflow kdd2018 kdd rnn anomaly-detection
Language:Jupyter Notebook 781
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.
ensemble-learning active-learning anomaly-detection rnn lstm explaination interpretability time-series timeseries trees unsuperivsed autoencoder streaming concept-drift generative-adversarial-network gan anogan graph-convolutional-networks adversarial-attacks nettack
Language:Python 769
ilivans / tf-rnn-attention
Tensorflow implementation of attention mechanism for text classification tasks.
attention rnn sentiment-analysis tensorflow text-classification
Language:Python 749
HHTseng / video-classification
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
action-recognition video-classification pytorch-tutorial cnn rnn lstm resnet ucf101 transfer-learning
Language:Jupyter Notebook 745
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
Language:C++ 728
ragulpr / wtte-rnn
WTTE-RNN a framework for churn and time to event prediction
weibull machine-learning-algorithms tensorflow rnn keras neural-network churn-prediction failure-rate
Language:Python 706

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