Getting Started How to get started with Agisoft Photoscan What is Photoscan? Agisoft Photoscan is a photogrammetry solution used extensively within the building industry for 3D model generation from existing sites, building interiors, and exteriors. With Paperspace's powerful GPU's and Photoscan's GPU
Data Science How to run Tableau on a Chromebook What is Tableau Desktop? Tableau Desktop is a business analytics solution that can visualize data and deliver insights from nearly any data source. It's built for collaboration and can handle large amounts of
Machine Learning Tesla V100 Available Today! Paperspace is the first cloud provider to offer NVIDIA Volta - the world’s most powerful GPU We got a first glimpse at the new Volta line of GPU's at GTC this year
DaaS Distributing your product to your customer via Paperspace Paperspace is a powerful distribution vehicle to demonstrate your product's capabilities in a way that is simple and managable. Your prospective clients will be able to test drive your software with any sample
Machine Learning Logistic Regression in Silicon Valley's Not Hotdog App Classification : Logistic Regression There is a fair bit of real math and science behind the audacious projects seen in HBO's hit TV show Silicon Valley. Of these projects, probably the most realistic and
Tutorial How to stream on YouTube & Twitch with OBS Open Broadcaster Software (known as OBS) is one of the most popular video recording and live streaming tools. It's free and open source, easy to set up and has built-in support for the
Machine Learning Style Transfer Part 2: Face Swap! Face transfer using deep neural nets Introduction In the previous article we looked at what style transfer was and how to use it to create your own art. Now, we will focus on
Data Science Jupyter notebooks the easy way! (with GPU support) 1. Create a Paperspace GPU machine You can choose any of our GPU types (GPU+/P5000/P6000). For this tutorial we are just going to pick the default Ubuntu 16.04 base template.
Events Join Us at SIGGRAPH 2017 Visit our Booth! Come visit Paperspace at the Garage as part of SIGGRAPH 2017 SIGGRAPH2017. We would love to say hi! Our booth is located at #SG15 Free Exhibition Passes! To make it
Tutorial Unsupervised Politics: Clustering in machine learning When faced with large quantities of data which you need to make sense of, it might be difficult to know where to begin looking for interesting trends. Rather than trying to make specific
Machine Learning What is Data Science? In the time that it takes you to read this article, about 26 million gigabytes of data will be produced. That's equivalent to about 2.34 billion minutes of standard definition video on
Earn GPU credit to write about ML/AI/Data Science for Paperspace 💎 TLDR: Get paid to write articles about machine learning, data science, and more. At Paperspace we are working to build out a new community resource to help people learn more about ML and
Tutorial Multi-machine create Seamlessly launch multiple instances Creating multiple machines is now a few clicks away. This feature is great for rolling out machines for a large team, scaling out render nodes, or running a complex
Features Getting Started with CPU Instances (Linux) CPU Instances allow you to scale compute power as you need it across a variety of use cases. We're excited to announce their availability in our latest release. Here we're going to walk
Machine Learning Paperspace + Insight Data Science At Paperspace, we're dedicated to making machine learning in the cloud more accessible to professionals and academics. The idea of a 1-click “ML-in-a-Box” is our response to the surge of requests for more
Give $10 to your friends, receive $15 Introducing Referral Codes We're very excited to announce a new feature that allows you to share your passion for Paperspace to others -- referral codes. Share $10 to anyone Anyone you refer to
Machine Learning Announcing the Official Paperspace Meetup: "Machine Learning at Work" Hello there, friend. Are you: A software developer trying to get a broad overview of the products and services available A business analyst, product manager, marketing manager, or consultant who has heard that
GPU Machine Learning on Paperspace We spend most of our time here at Paperspace making software that runs on GPUs. Given our familiarity with the hardware, we thought it would be easy to get started with the newest
GPU Setting up your cloud gaming rig with Paperspace + Parsec Creating your new cloud gaming machine takes less than 5 minutes. Watch the video or follow the steps below. To unlock the GPU+ machine type, enter the promo code: GAMER51 ## **5 Minute Setup
Machine Learning Recurrent Neural Networks (RNNs) : Part 1 Building an intuition There is a vast amount of data which is inherently sequential, such as speech, time series (weather, financial, etc.), sensor data, video, and text, just to mention some. Recurrent Neural
Data Science Getting started with scikit-learn The Machine Learning field is growing at a tremendous pace. One of the most interesting aspects of this development is the community created around it. With a closer look, we can see that
Case Study nTopology + Paperspace Check out the Case Study NYC based nTopology is building CAD software for generating complex lattice structures used to design high-performance 3D printed parts. .blue-button { background-color: #0072ef; border: 0; border-radius: 4px; color: #ffffff;
Cloud GPU rendering with Octane™ in the cloud GPU rendering is becoming an industry standard in the fields of Visual Effects, Motion Graphics, and Advertising. By utilizing the high-end graphics cards of today, computers can see a performance increase of several
GPU Adversarial Autoencoders (with Pytorch) "Most of human and animal learning is unsupervised learning. If intelligence was a cake, unsupervised learning would be the cake [base], supervised learning would be the icing on the cake, and reinforcement
R A Gentle Introduction to Data Classification with R Spam or Ham? Most of the data we generate is unstructured. This includes sources like text, audio, video, and images which an algorithm might not immediately comprehend. Yet, imagine if a human had