272 Open source projects that are alternatives of or similar to Deep Speeling

RMDL: Random Multimodel Deep Learning for Classification

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！

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.

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

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This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

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sliced-rnn

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

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使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.

A deep learning library to provide algs in pure Numpy or Tensorflow.

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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

Automatically generate headlines to short articles

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

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Tensorflow implementation of attention mechanism for text classification tasks.

Char-RNN implemented using TensorFlow.

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Implementing Recurrent Neural Network from Scratch

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Keras tutorial for beginners (using TF backend)

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Deep Recurrent Neural Networks for Source Separation

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BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Boilerplate code for quickly getting set up to run language modeling experiments

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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.

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Data augmentation for NLP, presented at EMNLP 2019

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A top-down, practical guide to learn AI, Deep learning and Machine Learning.

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

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Handwriting Recognition System based on a deep Convolutional Recurrent Neural Network architecture

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TensorFlow implementation of Independently Recurrent Neural Networks

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Long short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.

Chatbot in 200 lines of code using TensorLayer

此项目致力于构建一套最基础，最精简，可维护的react-native项目，支持ios，android 🌹