Series Dimension Reduction - t-SNE This tutorial is from a 7 part series on Dimension Reduction: Understanding Dimension Reduction with Principal Component Analysis (PCA) Diving Deeper into Dimension Reduction with Independent Components Analysis (ICA) Multi-Dimension Scaling (MDS) LLE
Series Dimension Reduction - LLE This tutorial is from a 7 part series on Dimension Reduction: Understanding Dimension Reduction with Principal Component Analysis (PCA) Diving Deeper into Dimension Reduction with Independent Components Analysis (ICA) Multi-Dimension Scaling (MDS) LLE
Machine Learning Hands-on with the Google TPUv2 Google’s Tensor Procesing Unit (TPU) has been making a splash in the ML/AI community for a lot of good reasons. Currently, training deep learning models takes an enormous amount of computing
Machine Learning What every ML/AI developer should know about ONNX The Open Neural Network Exchange Format (ONNYX) is a new standard for exchanging deep learning models. It promises to make deep learning models portable thus preventing vendor lock in. Let’s look at
Machine Learning Introducing Gradient° New tools for cloud Machine Learning and AI developers When we started building Paperspace we knew that GPU's were going to unlock an entirely new universe of possibilities for what cloud computing would
Series Multi-Dimension Scaling (MDS) This tutorial is from a 7 part series on Dimension Reduction: Understanding Dimension Reduction with Principal Component Analysis (PCA) Diving Deeper into Dimension Reduction with Independent Components Analysis (ICA) Multi-Dimension Scaling (MDS) LLE
Series Diving Deeper into Dimension Reduction with Independent Components Analysis (ICA) This tutorial is from a 7 part series on Dimension Reduction: Understanding Dimension Reduction with Principal Component Analysis (PCA) Diving Deeper into Dimension Reduction with Independent Components Analysis (ICA) Multi-Dimension Scaling (MDS) LLE
Series Understanding Dimension Reduction with Principal Component Analysis (PCA) This tutorial is from a 7 part series on Dimension Reduction: Understanding Dimension Reduction with Principal Component Analysis (PCA) Diving Deeper into Dimension Reduction with Independent Components Analysis (ICA) Multi-Dimension Scaling (MDS) LLE
Fake Bananas: Detecting Fake News at HackMIT on Paperspace Fake Bananas - check your facts before you slip on 'em. Check out our Github repo here! This year at HackMIT 2017 our team, Fake Bananas, leveraged Paperspace's server infrastructure to build a
Facial Recognition Using Deep Learning Convolutional Neural Networks (CNN) and Feature Extraction Convolutional Neural Networks allow us to extract a wide range of features from images. Turns out, we can use this idea of feature extraction for face
How We Built Our Cloud Motion Graphics Pipeline for Companies like Facebook, Jaguar & Google We were scrolling through our Instagram feed one day and came across the visually stunning work of Offset. We reached out to see if they wanted to try Paperspace, and it turned out
Tutorial GPU Acceleration in Agisoft Photoscan How to enable GPU Acceleration in Photoscan With Paperspace's powerful GPU's and Photoscan's GPU Accelerated workflow, processing of large image datasets can happen in hours not days. This walkthrough will cover the power
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
