Pinned Repositories
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
CRCN
Coherence + Recurrent Neural Network + Convolutional Neural Network
CRFSharp
CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of examples.
cs228-material
Teaching materials for the probabilistic graphical models class at Stanford
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
data-science-works
DecoupledNet
DecoupledNet: Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
deeplearning4nlp-tutorial
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
Neural-Networks-Demystified
Supporting code for short YouTube series Neural Networks Demystified.
zero76114's Repositories
zero76114/Neural-Networks-Demystified
Supporting code for short YouTube series Neural Networks Demystified.
zero76114/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
zero76114/CRCN
Coherence + Recurrent Neural Network + Convolutional Neural Network
zero76114/CRFSharp
CRFSharp is Conditional Random Fields implemented by .NET(C#), a machine learning algorithm for learning from labeled sequences of examples.
zero76114/cs228-material
Teaching materials for the probabilistic graphical models class at Stanford
zero76114/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes
zero76114/data-science-works
zero76114/deeplearning4nlp-tutorial
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
zero76114/IMDB-LSTM-Tutorial
In this tutorial I use an LSTM and Keras/Theano to predict sentiment on the IMDB dataset.
zero76114/imdb_experiments
IMDB dataset processing (Stanford Maas ACL 2011 paper dataset), LSTM experiments in keras.
zero76114/is13
RNN for Spoken Language Understanding
zero76114/kaggle-Rain
Winning solution to the Kaggle competition - How Much Did It Rain? II
zero76114/keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
zero76114/ladder
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
zero76114/ladder-1
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
zero76114/ladder_network
Implementation of "Ladder Network" using Blocks and Theano.
zero76114/LSTM---Stock-prediction
A long term short term memory recurrent neural network to predict stock data time series
zero76114/mkdocs
Project documentation with Markdown.
zero76114/mosesdecoder
Moses, the machine translation system
zero76114/MyThesis
Khóa luận cao học
zero76114/ner-lstm
Named Entity Recognition using LSTM
zero76114/randomfun
Notebooks and various random fun
zero76114/rnn-tutorial-gru-lstm
Language Model GRU with Python and Theano
zero76114/RNNSharp
RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling. It's written by C# language and based on .NET framework 4.6 or above version. RNNSharp supports many different types of RNNs, such as BPTT and LSTM RNN, forward and bi-directional RNNs, and RNN-CRF.
zero76114/scikit-learn
scikit-learn: machine learning in Python
zero76114/seya
Bringing up some extra Cosmo to Keras.
zero76114/stack-lstm-ner
NER system based on stack LSTMs
zero76114/stocks_rnn
Stock price prediction with LSTMs in TensorFlow
zero76114/tagger
Named Entity Recognition Tool
zero76114/testGitHub
test