This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…

The official homepage of the COCO-Stuff dataset.

Semantic Segmentation Architectures Implemented in PyTorch

Tutorials and training material for the H2O Machine Learning Platform

Image augmentation for machine learning experiments.

A resource repository for 3D machine learning

pyntcloud is a Python library for working with 3D point clouds.

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.

Open-source simulator for autonomous driving research.

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Launch, snapshot and destroy AWS spot instances

Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

Toy car that drives itself using neural networks

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

Awesome paper list with code about generative adversarial nets

Object Detection

Keras implementation of Mobile Networks

Neural network visualization toolkit for keras

Batch Renormalization algorithm implementation in Keras

Extra batteries for Keras

ResNet Implementation for Faster-rcnn

Tensorflow Faster RCNN for Object Detection

Deep Residual Learning for Image Recognition

Fully Convolutional Instance-aware Semantic Segmentation

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

RFCN implementation in TensorFlow

R-FCN with joint training and python support

Multi style transfer. You can make Gogh + Manet + Picasso style image