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aircap

Aerial Outdoor Motion Capture - Public Code Repository

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bagbunker-1

cadl

Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

caffe-excitationbp

Implementation of Excitation Backprop in Caffe

camelyon2016code

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

cats_vs_dogs

This is the implementation to solve Kaggle's cat vs dog segregation.

convcrf

This repository contains the reference implementation for our proposed Convolutional CRFs.

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

deep-image-prior

Image restoration with neural networks but without learning.

deep-photo-styletransfer-tf

Tensorflow (Python API) implementation of Deep Photo Style Transfer

deeplearning_tensorflow

deeplearningbook

MIT Deep Learning Book in PDF format

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

enhancenet

Pytorch Implementation of EnhanceNet

fast-style-transfer

TensorFlow CNN for fast style transfer! ⚡🖥🎨🖼

fastphotostyle

Style transfer, deep learning, feature transform

gem

generative-query-network-pytorch

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

genesis

Official PyTorch implementation of "GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations"

gransac

Multi-threaded generic RANSAC implemetation

gulp

The streaming build system

how-to-learn-from-little-data

This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube

image-segmentation

A graph-based image segmentation algorithm

interactive-coding-challenges

Huge update! Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

l4-pytorch

L4: Practical loss-based stepsize adaptation for PyTorch