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rnn

Here are 2,592 public repositories matching this topic...

apachecn / ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Updated Apr 24, 2022
Python

Mikoto10032 / DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

machine-learning deep-learning mxnet tensorflow cnn pytorch kaggle gan rnn machinelearning deeplearning gcn

Updated Apr 21, 2022
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MorvanZhou / PyTorch-Tutorial

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

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

Updated May 16, 2022
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nfmcclure / tensorflow_cookbook

Open

Suggestion for better test_indices

3

ychong commented Feb 8, 2018

Hi I would like to propose a better implementation for 'test_indices':

We can remove the unneeded np.array casting:

Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))

Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))

Read more

enhancement good first issue

MorvanZhou / Tensorflow-Tutorial

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

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

Updated Oct 31, 2020
Python

bentrevett / pytorch-seq2seq

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

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

Updated Aug 4, 2021
Jupyter Notebook

gaussic / text-classification-cnn-rnn

CNN-RNN中文文本分类，基于TensorFlow

text-classification tensorflow cnn classification rnn chinese tensorboard

Updated May 19, 2019
Python

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

Updated Sep 16, 2020
Python

bentrevett / pytorch-sentiment-analysis

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

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

Updated May 5, 2022
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guillaume-chevalier / LSTM-Human-Activity-Recognition

Sponsor

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 neural-network tensorflow activity-recognition recurrent-neural-networks lstm rnn human-activity-recognition

Updated May 13, 2021
Jupyter Notebook

DSKSD / DeepNLP-models-Pytorch

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

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

Updated Oct 15, 2019
Jupyter Notebook

jisungk / deepjazz

Deep learning driven jazz generation using Keras & Theano!

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

Updated May 29, 2019
Python

zzw922cn / Automatic_Speech_Recognition

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

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

Updated May 26, 2022
Python

xiph / rnnoise

Recurrent neural network for audio noise reduction

audio c rnn noise-reduction

Updated Jun 9, 2022
C

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.

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

Updated Mar 14, 2022
Python

golbin / TensorFlow-Tutorials

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

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

Updated Mar 23, 2019
Python

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

Updated May 29, 2022
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Arturus / kaggle-web-traffic

1st place solution

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

Updated Oct 15, 2018
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github / CodeSearchNet

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

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

Updated Jan 31, 2022
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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

nlp video reinforcement-learning detection cnn transformer gan dqn classification rnn sarsa segmentation recommender-system bert pose dssm tinybert dynabert

Updated Jun 13, 2022
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hunkim / word-rnn-tensorflow

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

python tensorflow lstm rnn rnn-tensorflow

Updated Oct 9, 2019
Python

jasonwei20 / eda_nlp

Data augmentation for NLP, presented at EMNLP 2019

nlp text-classification position cnn embeddings synonyms swap classification rnn sentence data-augmentation

Updated May 19, 2021
Python

nlp_overview

omarsar / nlp_overview

Sponsor

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

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

Updated Mar 25, 2020
CSS

tgjeon / TensorFlow-Tutorials-for-Time-Series

TensorFlow Tutorial for Time Series Prediction

rnn tensorflow-tutorials series-prediction

Updated Aug 1, 2017
Jupyter Notebook

adeshpande3 / LSTM-Sentiment-Analysis

Sentiment Analysis with LSTMs in Tensorflow

sentiment-analysis tensorflow lstm rnn

Updated Jul 3, 2019
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scorpionhiccup / StockPricePrediction

Stock Price Prediction using Machine Learning Techniques

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

Updated Jan 24, 2022
Jupyter Notebook

chickenbestlover / RNN-Time-series-Anomaly-Detection

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

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

Updated Aug 2, 2021
Python

tensorlayer / seq2seq-chatbot

Chatbot in 200 lines of code using TensorLayer

python nlp chat bot tensorflow chatbot corpus lstm rnn tensorlayer

Updated Oct 5, 2021
Python

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.

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

Updated May 26, 2022
Python

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

Updated May 26, 2022
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