584 Open source projects that are alternatives of or similar to Keras Lmu

The first public PyTorch implementation of Attentive Recurrent Comparators

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.

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

All my experiments with AI and ML

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

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

TensorFlow template application for deep learning

semantic analysis using word2vector, doc2vector,lstm and other method. mainly for text similarity analysis.

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

Time series prediction with Sequential Model and LSTM units

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

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

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

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Top 200 deep learning Github repositories sorted by the number of stars.

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Keras implementation of video classifier

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

A Tensorflow based implicit recommender system

基于RNN生成古诗

Sarcasm detection on tweets using neural network

The code for the MaD TwinNet. Demo page:

Char-level RNN LSTM text generator📄.

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。

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

Layer-wise Relevance Propagation (LRP) for LSTMs

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

An Echo State Network module for PyTorch.

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

Handwriting Synthesis with RNNs ✏️

A Collection of resources I have found useful on my journey finding my way through the world of Deep Learning.

convolutional lstm implementation in pytorch

Python library for Reservoir Computing using Echo State Networks

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

ECG classification programs based on ML/DL methods

R interface to the keras library

CNN, LSTM, NBOW, fasttext 中文文本分类

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Neural word segmentation with rich pretraining, code for ACL 2017 paper

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

videos, lectures, blogs for Deep Learning

LSTM and CNN sentiment analysis

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

Tutorial for End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Learning the Enigma with Recurrent Neural Networks

datagrand 2019 information extraction competition rank9

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

Text Classification Algorithms: A Survey

ConText v4: Neural networks for text categorization

Quantize weights and activations in Recurrent Neural Networks.

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Explore Action Recognition

Context-Dependent Sentiment Analysis in User-Generated Videos

document classification using LSTM + self attention

Pointer Networks Implementation in Keras

Biologically-realistic recurrent convolutional neural networks