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deep3d

Automatic 2D-to-3D Video Conversion with CNNs

deep_learning

Deep Learning Resources and Tutorials using Keras and Lasagne

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation

delving-deep-into-gans

A curated, quasi-exhaustive list of state-of-the-art publications and resources about Generative Adversarial Networks (GANs) and their applications.

driverbehaviordataset

fastphotostyle

Style transfer, deep learning, feature transform

fluid2d

A versatile Python-Fortran CFD code that solves a large class of 2D flows

focal-loss-keras

Focal Loss implementation in Keras

fuzzy-c-means

Image Segmentation using Fuzzy C Means

gan-sandbox

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

gandlf

Generative Adversarial Networks in Keras

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-and-discriminative-voxel-modeling

Voxel-Based Variational Autoencoders, VAE GUI, and Convnets for Classification

gensim

Topic Modelling for Humans

gpt-3

GPT-3: Language Models are Few-Shot Learners

gpt-neo

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

grammarvae

Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

guyps

A GPS application for Guy written on top of Kivy

hackthewind2018

Presentation of 'Hack the Wind 2018' hackathon solution

harmonicconvolutions

Deep Translation and Rotation Equivariance

hello-world

hera

Train/evaluate a Keras model, get metrics streamed to a dashboard in your browser.

honk

A bunch of notebooks relating to the honking project

how_to_win_slot_machines

This is the code for "How to Do Win Slot Machines - Intro to Deep Learning #13' by Siraj Raval on YouTube

imagetracerjs

Simple raster image tracer and vectorizer written in JavaScript.

imgaug

Image augmentation for machine learning experiments.

independent_component_analysis

From scratch Python implementation of the fast ICA algorithm.

kaggle-dsb2-keras

Keras tutorial for Kaggle 2nd Annual Data Science Bowl

kaktusio

Go-Search - Machine learning powered Heatmap to predict supply-demand gap for ride hailing services across city.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.