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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

news-popularity-prediction

A set of methods that predict the future values of popularity indices for news posts using a variety of features.

nips-2017-adversarial

Adversarial Attacks and Defenses of Image Classifiers, NIPS 2017 competition track

nmt

TensorFlow Neural Machine Translation Tutorial

node2vec

nre

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

paddlefl

Federated Deep Learning in PaddlePaddle

paragraph2vector_emtreecluster

processors

Natural Language Processors

ps-lite

A lightweight parameter server interface

psi

Private Set Intersection Cardinality protocol based on ECDH and Bloom Filters

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pyalgotrade

Python Algorithmic Trading Library

pyalgotrade-cn

pyalgotrade tailored for Chinese stock market

pyfhel

PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/HElib/PALISADE as backends, implemented using Cython.

pygarble

Garbled circuits in Python

pysparnn

Approximate Nearest Neighbor Search for Sparse Data in Python!

pysyft

A library for answering questions using data you cannot see

python-paillier

A library for Partially Homomorphic Encryption in Python

qanet

A Tensorflow implementation of QANet for machine reading comprehension

quora_duplicate_questions

detection quora duplicate question

rbgparser

real-time-deep-face-recognition

using facenet algorithm

risk_mining

about risk data mining

secretflow

selective_search_ijcv_with_python

Simple Python script to compute Selective Search proposals in Matlab.

seq2seq

Sequence to Sequence Learning with Keras

shap

A unified approach to explain the output of any machine learning model.

sklearn-expertsys

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models