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neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nips14-ssl

Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"

nips2015_vrnn

norm-rnn

Batch Normalized Recurrent Neural Networks

nostr

Nostr protocol implementation, SDK and FFI

nyu-ml-course

Code for the NYU Graduate ML course

openai-cartpole

random search, hill climbing, policy gradient

opencl-caffe

OpenCL version of caffe developed by AMD research lab

opencv-gpu-py

Python OpenCV GPU CascadeClassifier Wrapper

openface

Face recognition with Google's FaceNet deep neural network.

opennn

OpenNN - Open Neural Networks Library.

paac

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

papers

Summaries of machine learning papers

parallel-coordinates

A d3-based parallel coordinates plot in canvas.

passage

A little library for text analysis with RNNs.

pcl_keras

reinforcement learning. policy gradient. PCL

plogicnet

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

practical1

Practical 1: Introduction to lua and torch

practical2

Practical 2: Linear models

practical3

Optimization and logistic regression

practical4

Implementing your own layer

practical5

nngraph for more complex structures

practical6

Practical 6: LSTM language models

probabilistic-graphical-models

Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.

product-quantization

product quantization experiments

projectai

Variational Autoencoder, made for Project AI - January

proppr

Graph-algorithm inferences over local groundings of first-order logic programs

purine2

Purified Purine.