100 Open source projects that are alternatives of or similar to Cnngesturerecognizer

深度学习相关代码

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Deep Reinforcement Learning library for humans

We provide GPU-enabled docker images including Keras, TensorFlow, CNTK, MXNET and Theano.

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

Implementation of Dynamic memory networks by Kumar et al. http://arxiv.org/abs/1506.07285

Code for EMNLP 2016 paper: Morphological Priors for Probabilistic Word Embeddings

A course in reinforcement learning in the wild

Theano implementation of Sequence-to-Sequence Autoencoder

Neural network visualization toolkit for keras

Image classification of wildflowers using deep residual learning and convolutional neural nets

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Reimplementation of DRAW

Text classification with Reuters-21578 datasets using Gensim Word2Vec and Keras LSTM

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

Easy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.

🔬 Nano size Theano LSTM module

Bidirectional Helmholtz Machines

Deep Reinforcement Learning for Keras.

Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.

Deep Neural Network for Sentiment Analysis on Twitter

A module for E-mail Summarization which uses clustering of skip-thought sentence embeddings.

Deep Convolutional Neural Networks for Musical Source Separation

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

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Documentation:

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Lightweight library to build and train neural networks in Theano

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Neural Machine Translation with Keras

This is a STORN (Stochastical Recurrent Neural Network) implementation for keras!

Implementation of a hierarchical CNN based model to detect Big Five personality traits

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

RNN-based generative models for speech.

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

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Convolutional AutoEncoder application on MRI images

A deep neural network for face alignment

Network Intrusion Detection System using Deep Learning Techniques

Code and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next

Deep learning for freehand sketch object recognition

Setup and customize deep learning environment in seconds.

Code for "Variational Neural Machine Translation" (EMNLP2016)

The RWTH extensible training framework for universal recurrent neural networks

RNN benchmarks of pytorch, tensorflow and theano

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.

A light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction

Introduction to Deep Neural Networks with Keras and Tensorflow

MPI Parallel framework for training deep learning models built in Theano

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

Deep learning driven jazz generation using Keras & Theano!

Keras package for deep residual networks

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Text Classification Library in Keras

The On-Ramp to Deep Learning

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

中文 Python 笔记

GPU-accelerated Deep Learning on Windows 10 native

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.

Implementation of the reweighted wake-sleep machine learning algorithm