One-shot Learning with Memory-Augmented Neural Networks

Python client for Moss: A System for Detecting Software Similarity

Implement minimal boilerplate CLIs derived from type hints and parse from command line, config files and environment variables

A set of tools for creating and testing machine learning features, with a scikit-learn compatible API

Code for experiments regarding importance sampling for training neural networks

Host applications and library for Crazyflie written in Python.

Naive Bayes SVM for Sentiment Analysis

KEras Reinforcement Learning gYM agents

RLPy Reinforcement Learning Framework

[unmaintained] Make seq2seq for keras work

Open source karaoke software

bunny1 is a tool that lets you write smart bookmarks in python and then share them across all your browsers and with a group of people or the whole world. It was developed at Facebook and is widely…

Deprecated, legacy project. Exists only to support existing dependents (e.g., ZEO)

Binary Ninja plugin to decompile binaries using RetDec API

Monitor your GPUs whether they are on a single computer or in a cluster

Publicly released tools/plugins from PPP for DEFCON 25 CTF Finals

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences (NIPS 2016) - Tensorflow 1.0

Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.

Easy TensorFlow logging for quick prototypes

ETS project parser written in python

Automatic Caffe parameter search via Spearmint Bayesian optimisation

some tools for gaussian linear dynamical systems

An external PySpark module that works like R's read.csv or Panda's read_csv, with automatic type inference and null value handling. Parses csv data into SchemaRDD. No installation required, simply …

Cross-platform karaoke player: supports CDG (MP3+G, OGG+G, WAV+G), MIDI (.KAR, .MID) and MPEG formats

Better LaTeX experience with Sublime Text

Convolutional computer vision architectures that can be tuned by hyperopt.

A simple implementation of CNN based text classification in Pytorch