A collection of browser-based side channel attack vectors.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

LSTM language model with CNN over characters

Statistical NLG for spoken dialogue systems

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Syst…

Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)

A repository for learning various heap exploitation techniques.

Word2Vec in C++ 11

CPU and GPU-accelerated Machine Learning Library

cuda implementation of CBOW model (word2vec)

Some setup scripts for security research tools.

A list of recent papers regarding deep reinforcement learning

Caffe: a fast open framework for deep learning.

LSTM implementation on Caffe

Efficient, reusable RNNs and LSTMs for torch

Deep Learning for humans

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…

📚 Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.

A small C++ implementation of LSTM networks, focused on OCR.

Lightweight library to build and train neural networks in Theano

Monitor Memory usage of Python code

🔬 Nano size Theano LSTM module

A wrapper for LibSVM that lets you train SVM's directly on Eigen library matrices in C++

Web interface for browsing, search and filtering recent arxiv submissions

Efficient Image Captioning code in Torch, runs on GPU