Random Network Distillation pytorch

Arnold - DOOM Agent

webrtc talk at ep14.

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …

Memory Networks implementations

One-shot Learning with Memory-Augmented Neural Networks

Deep Neuroevolution

A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow

Salamandra is a tool to find spy microphones that use radio freq to transmit. It uses SDR.

Synthesizing and manipulating 2048x1024 images with conditional GANs

StarGAN - Official PyTorch Implementation (CVPR 2018)

Deep learning library featuring a higher-level API for TensorFlow.

Reinforcement Learning environments based on the 1993 game Doom

Implementation of modular composition network from https://arxiv.org/pdf/1711.11289.pdf

Open-source simulator for autonomous driving research.

Torch implementation of "PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION"

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

A topic-centric list of HQ open datasets.

Visualizes solutions to the N-Queens problem, written in React & Flux

ArrayFire.js - ArrayFire for Node.js

HIP: C++ Heterogeneous-Compute Interface for Portability

Domain-Adversarial Neural Network in Tensorflow

A summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.

Library of algorithm scripts for Quantopian

pix2pix demo that learns from facial landmarks and translates this into a face

6 axis stepper motor robot and control software - Gen2

Framework for building complex recurrent neural networks with Keras

Optimization Examples with SigOpt

Record demonstrations for µniverse