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.

✭ 1,767

python pytorch natural-language-processing artificial-intelligence neural-networks cnn lstm named-entity-recognition ner crf sequence-labeling part-of-speech-tagger chunking char-rnn nbest lstm-crf char-cnn

Deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

✭ 1,744

Jupyter Notebook deep-learning pytorch nlp tutorial neural-network lstm

Lstm Crypto Price Prediction

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

✭ 136

python bot bitcoin lstm rnn trading-bot algorithmic-trading btc interpolation technical-analysis algotrading

Easyocr

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

✭ 13,379

python deep-learning machine-learning pytorch image-processing cnn lstm ocr data-mining information-retrieval crnn optical-character-recognition scene-text scene-text-recognition easyocr

Handwriting Synthesis

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

✭ 135

jupyter-notebook deep-learning machine-learning lstm

Lstm Crf

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

✭ 134

python tensorflow lstm sequence-labeling

Stockprediction

Plain Stock Close-Price Prediction via Graves LSTM RNNs

✭ 134

java lstm recurrent-neural-networks stock-price-prediction deeplearning4j

Deep Learning With Python

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

✭ 134

python python3 jupyter-notebook deep-learning tensorflow neural-networks gan lstm generative-adversarial-network tensorflow-tutorials style-transfer vae dcgan variational-autoencoder

E3d lstm

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

✭ 129

python tensorflow video deeplearning lstm unsupervised-learning

Abstractive Summarization

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

✭ 128

jupyter-notebook deep-learning tensorflow nlp lstm attention-mechanism encoder-decoder

Image Caption Generator

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

✭ 126

python deep-learning convolutional-neural-networks lstm recurrent-neural-networks attention-mechanism attention image-captioning attention-model cnn-keras vgg16 beam-search

Chinese Chatbot

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

✭ 124

jupyter-notebook keras chatbot jupyter lstm rnn attention seq2seq chinese-nlp

Pytorch convlstm

convolutional lstm implementation in pytorch

✭ 126

python deep-learning pytorch deep-neural-networks convolutional-neural-networks cnn lstm

Multilstm

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

✭ 122

jupyter-notebook tensorflow keras lstm named-entity-recognition ner crf

Daguan 2019 rank9

datagrand 2019 information extraction competition rank9

✭ 121

python pytorch lstm ner crf information-extraction dropout

Context

ConText v4: Neural networks for text categorization

✭ 120

deep-learning neural-network convolutional-neural-networks gpu lstm text-classification sentiment-analysis sentiment-classification

Linear Attention Recurrent Neural Network

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

✭ 119

jupyter-notebook pytorch lstm rnn recurrent-neural-networks attention-mechanism attention-model attention-is-all-you-need

Pointer Networks

Pointer Networks Implementation in Keras

✭ 118

python deep-learning neural-network lstm

Reinforcementlearning Atarigame

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games

✭ 118

python jupyter-notebook pytorch reinforcement-learning lstm deep-reinforcement-learning openai-gym actor-critic a3c

Nlp Models Tensorflow

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

✭ 1,603

Jupyter Notebook python deep-learning machine-learning nlp chatbot lstm embedded attention speech-to-text neural-machine-translation summarization pos-tagging language-detection optical-character-recognition lstm-seq2seq-tf dnc-seq2seq luong-api

Lstm Autoencoders

Anomaly detection for streaming data using autoencoders

✭ 113

python lstm timeseries autoencoder anomalydetection

Rnn Text Classification Tf

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

✭ 114

python deep-learning tensorflow lstm text-classification sentiment-analysis recurrent-neural-networks gru

Pytorch Rnn Text Classification

Word Embedding + LSTM + FC

✭ 112

python pytorch lstm rnn text-classification gru glove

Lstm Gru Pytorch

LSTM and GRU in PyTorch

✭ 109

jupyter-notebook pytorch lstm

Pytorch Gan Timeseries

GANs for time series generation in pytorch

✭ 109

python pytorch lstm generative-adversarial-network time-series finance wavenet

Robust Lane Detection

✭ 110

python deep-learning deep-neural-networks cnn dataset lstm

Deeplearning tutorials

The deeplearning algorithms implemented by tensorflow

✭ 1,580

Jupyter Notebook python tensorflow cnn lstm deep-learning-tutorial deep-learning-algorithms sda rbm mlp dbn

Twitter Emotion Recognition

Models for predicting emotions from English tweets.

✭ 111

python deep-learning twitter lstm

Lstms.pth

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

✭ 111

python pytorch lstm rnn dropout

Deep Learning Based Ecg Annotator

Annotation of ECG signals using deep learning, tensorflow’ Keras

✭ 110

python deep-learning tensorflow tutorial lstm segmentation example time-series annotations keras-tutorials

Exermote

Using Machine Learning to predict the type of exercise from movement data

✭ 108

swift tensorflow keras firebase convolutional-neural-networks gan lstm generative-adversarial-network coreml ios11 exercise

Tesseract

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

✭ 43,199

C++c java Makefile CMake shell hacktoberfest machine-learning lstm ocr tesseract tesseract-ocr ocr-engine

Ml Ai Experiments

All my experiments with AI and ML

✭ 107

jupyter-notebook deep-learning machine-learning nlp keras artificial-intelligence lstm rnn text embeddings word mining

Awesome Deep Learning Resources

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

✭ 1,469

deep-learning machine-learning tensorflow awesome awesome-list cnn lstm

Jlm

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

✭ 105

python tensorflow deep-neural-networks lstm decoder beam-search

Repo 2016

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

✭ 103

python python3 deep-learning nlp keras natural-language-processing rstats lstm face-recognition word2vec timeseries nlp-machine-learning autoencoder theano lstm-neural-networks time-series-analysis lasagne

See Rnn

RNN and general weights, gradients, & activations visualization in Keras & TensorFlow

✭ 102

python deep-learning tensorflow visualization keras lstm rnn gru

Stock Market Prediction Web App Using Machine Learning And Sentiment Analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

✭ 101

python machine-learning tensorflow keras wordpress flask twitter lstm sentiment-analysis stock-market linear-regression stock-price-prediction

Deep Generation

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

✭ 101

c deep-learning tensorflow lstm lstm-neural-networks

Pytorch gbw lm

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

✭ 101

python deep-learning machine-learning pytorch nlp gpu lstm language-model torch

Keras Timeseries Prediction

Time series prediction with Sequential Model and LSTM units

✭ 100

python machine-learning keras lstm prediction

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