PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Python library providing function decorators for configurable backoff and retry

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

CNNs for sentence classification

Reference implementations of popular deep learning models.

Command line utilities for data analysis

Wiki-like CTF write-ups repository, maintained by the community. 2014

Implementation of recent Deep Learning papers

Reference implementations of MLPerf® training benchmarks

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

A tool to analyze multi-byte xor cipher

pytest fixture for benchmarking code

Contest Management System

Different agents and different keys for different projects, with ssh.

CTF write-ups by Plaid Parliament of Pwning

Framework for building complex recurrent neural networks with Keras

Python implementation of the PageKite remote front-end protocols.

Using Keras and Deep Deterministic Policy Gradient to play TORCS

Implementation of TRPO and related algorithms

Persistent, stale-free, local and cross-machine caching for Python functions.

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

Guided Policy Search

A grab-bag of nifty pytest plugins

Platform for building statistical models of cities and regions

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

python library to examine ptmalloc (the glibc userland heap implementation)

in progress

An experimental technique for efficiently exploring neural architectures.

DEEp Reinforcement learning framework

Hierarchical Object Detection with Deep Reinforcement Learning