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

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Explaining textual analysis tools in Python. Including Preprocessing, Skip Gram (word2vec), and Topic Modelling.

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

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

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从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

Keras implementation of video classifier

An open-source sleep stage classification Python package

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Pytorch implementation of HTR on IAM dataset (word or line level + CTC loss)

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Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

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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)

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Train an LSTM to generate piano or violin/piano music.

A Recurrent Neural Network implemented from scratch (using only numpy) in Python.

Char-level RNN LSTM text generator📄.

predicting yelp review rating using recurrent neural networks

Efficient and easy to use transliteration for Indian languages

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。

Keras Temporal Convolutional Network.

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

CPU and GPU implementations of some 2D RNN layers

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

Singing-Voice Separation From Monaural Recordings Using Deep Recurrent Neural Networks

An Echo State Network module for PyTorch.

language models toolkits with hierarchical softmax setting

Layer-wise Relevance Propagation (LRP) for LSTMs

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A siamese LSTM to detect sentence/question pairs.

Generating Text using Deep Learning in Python - LSTM, RNN, Keras

A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch

Handwriting Synthesis with RNNs ✏️

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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.

GANs for time series generation in pytorch

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

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Char-RNN implemented using TensorFlow.