graphific Goto Github PK

angular.js

AngularJS - HTML enhanced for web apps!

ar-template

Template for AR Foundation + Extensions

arcore-unity-extensions

Google ARCore Extensions and Geospatial Creator for Unity's AR Foundation

arduino_env

bunch of environmental sensor tests for arduino

convnet

creativeai

An open-source social news app built with Meteor

cryptoabm

agent based modeling for testing pgp crypto communications

deepdreamanim

DeepDream Animation Helper

deepdreamui

DeepDreamUI

deepdreamvideo

implementing deep dream on video

dl-machine

Scripts to setup a GPU / CUDA-enabled compute server with libraries for deep learning - Fork of eickenberg (included caffe) in turn fork of Deep-Learning-Paris-Meetup

dl-meetup-intro

Code for participants of "NLP and Deep Learning: introduction - Session I" at Sthlm NLP Meetup of 22 Jan 2015

faunus-0.4.4

faunus fork

fear-and-loathing-experiment

unprocessed and processed frames of Fear and Loathing in Las Vegas #deepdream experiment

graphific.github.io

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

micro

microcontroller software

moviepy

Video editing with Python

neural-enhance

Super Resolution for images using deep learning.

neural-storyteller

A recurrent neural network for generating little stories about images

notebooks

repo to push various experiments in ipynb to

opensfm

Open source Structure-from-Motion pipeline

skip-thoughts

Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

tensorflow

Open source software library for numerical computation using data flow graphs.

titan-0.4.4

titan-0.4.4 fork

tweepy

Twitter for Python!

unity-generate-uml

A GitHub action that generates UML diagrams for Unity C# code automatically.

unsup

Some unsupervised learning modules using Torch

visual-semantic-embedding

Implementation of the image-sentence embedding method described in "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models"

vsepp

PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"