530 Open source projects that are alternatives of or similar to Rnn Rbm In Theano

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.

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Deep learning driven jazz generation using Keras & Theano!

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

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

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Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

TensorFlow implementation of Independently Recurrent Neural Networks

Hacking Toolkit

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

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

GPU-accelerated Deep Learning on Windows 10 native

WTTE-RNN a framework for churn and time to event prediction

Neural Machine Translation with Keras

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

A course in reinforcement learning in the wild

RNN-based generative models for speech.

Chatbot in 200 lines of code using TensorLayer

Deep Convolutional Neural Networks for Musical Source Separation

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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.

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

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

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

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

Idiomatic nmap library for go developers

Keras package for region-based convolutional neural networks (RCNNs)

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

Automatically generate headlines to short articles

Tensorflow implementation of attention mechanism for text classification tasks.

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 🌹

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.

A bidirectional recurrent neural network model with attention mechanism for restoring missing punctuation in unsegmented text

bandwidth monitor and rate estimator

A deep neural network for face alignment

NFStream: a Flexible Network Data Analysis Framework.

sliced-rnn

Setup and customize deep learning environment in seconds.

Char-RNN implemented using TensorFlow.

Batfish is a network configuration analysis tool that can find bugs and guarantee the correctness of (planned or current) network configurations. It enables network engineers to rapidly and safely evolve their network, without fear of outages or security breaches.

Text Classification Library in Keras

Repository contains pgRouting library. Development branch is "develop", stable branch is "master"

Vulnerability scanner using Nmap for scanning and correlating found CPEs with CVEs.

Fast IP to CIDR lookup in Golang

A tidy API for graph manipulation

Code for Tensorflow Machine Learning Cookbook

Lightweight library to build and train neural networks in Theano

Deep Reinforcement Learning for Keras.

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Jekyll-based static site for The Programming Historian

An introduction to network analysis and applied graph theory using Python and NetworkX

Hack the World using Termux

🌊 Numerically solving and backpropagating through the wave equation

A Linux packet crafting tool.

The Python Code Tutorials

NetworKit is a growing open-source toolkit for large-scale network analysis.

Implementing Recurrent Neural Network from Scratch

Stock Price Prediction using Machine Learning Techniques

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

RMDL: Random Multimodel Deep Learning for Classification