A Scala API for Cascading

Sparse Blocks Networks

Scenarios, tutorials and demos for Autonomous Driving

Preparation links and resources for system design questions

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

An open autonomous driving platform

A resource repository for 3D machine learning

A curated list of engineering blogs

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

The Udacity open source self-driving car project

Multi-threaded VGG 19 feature extractor in Torch

Caffe: a fast open framework for deep learning.

Open-source simulator for autonomous driving research.

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Tesseract Open Source OCR Engine (main repository)

Models and examples built with TensorFlow

Deep universal probabilistic programming with Python and PyTorch

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

Tensorflow implementation of the Social LSTM model

Code for the paper "Improved Techniques for Training GANs"

Python tools for working with KITTI data.

Visualising LIDAR data from KITTI dataset.

Tutorial for using Kitti dataset easily

Datasets, Transforms and Models specific to Computer Vision

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

Real-time Joint Semantic Reasoning for Autonomous Driving

Caffe2 is a lightweight, modular, and scalable deep learning framework.

🤘 awesome-semantic-segmentation

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville