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Paperspace Blog

Machine Learning • Artificial Intelligence • 3D Graphics • Cloud GPUs

Latest

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Latest

Unpaired Image to Image Translations with Cycle GANs

In this tutorial, we show how to implement cycle GANs from scratch for image to image translation in TensorFlow using a clever combination of a ResNet generator and Patch GAN discriminator.

By Bharath K

• a few seconds ago

Featured public

Gradient

GPU Memory bandwidth

In this article, we ask what GPU memory bandwidth is, and examine why it should be taken into consideration as one of the qualities an ML/DL expert should look for in a machine learning platform.

By Adil Lheureux

• a day ago

Featured public

Tutorial

Writing ResNet from Scratch in PyTorch

In this continuation on our series of writing DL models from scratch with PyTorch, we learn how to create, train, and evaluate a ResNet neural network for CIFAR-100 image classification.

By Nouman

• 2 days ago

Featured public

Tutorial

Zero-shot Text Classification with Hugging Face 🤗 on Gradient

In this tutorial, we look at and implement the pipeline for running zero-shot text classification with Hugging Face on a Gradient Notebook.

By Prakhar Mishra

• 6 days ago

Featured public

Tutorial

Photogrammetry with Pix4D and Core

In this tutorial, we look in depth at Pix4Dmatic: the premiere software for photogrammetry at scale. Readers can expect to learn how to set up Pix4Dmatic on Core, walk through all the steps for staging a task, and then create a 3d model using provided sample data.

By James Skelton

• 7 days ago

Featured public

Tutorial

Image Classification with Attention

Follow this tutorial to learn what attention in deep learning is, and why attention is so important in image classification tasks. We then follow up with a demo on implementing attention from scratch with VGG.

By Ibtesam Ahmed

• 8 days ago

public

GPU

Computing GPU memory bandwidth with Deep Learning Benchmarks

In this article, we look at GPUs in depth to learn about memory bandwidth and how it affects the processing speed of the accelerator unit for deep learning and other pertinent computational tasks.

By David Clinton

• 13 days ago

public

Tutorial

Detecting Outliers with Angle-based Techniques in Python

Follow this tutorial to master angle-based outlier detection (ABOD), and learn how to better optimize your datasets for deep learning.

By Prakhar Mishra

• 16 days ago

public

Tutorial

Creating an animated 3D character in Gradient with AvatarCLIP (Part 1)

In part one of this tutorial, we show how AvatarCLIP works under the hood to generate and animate fine detailed figures with PyTorch, and end with a code demo for texturing and sculpting the initial model.

By James Skelton

• 20 days ago

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