Going beyond torchvision models
Learn how to get access to models that have not yet been added to the Torchvision framework.
7 years ago
Tutorial
Physics control tasks with Deep Reinforcement Learning
Learn how to implement the paper Continuous Control with Deep Reinforcement Learning, in PyTorch using OpenAI gym.
7 years ago
A practical guide to Deep Learning in 6 months
This post will give you a detailed roadmap to learn Deep Learning and will help you get Deep Learning internships and full-time jobs within 6 months.
7 years ago
Generating an interactive Pix2Pix model with Gradient° and ml5.js
Learn to train a generative image model using Gradient° and then porting the model to ml5.js, so you can interact with it in the browser.
7 years ago
Featured
public
Series: Data Augmentation
Data Augmentation for Bounding Boxes: Rethinking Image Transforms for Object Detection
How to adapt major image augmentation techniques for object detection purposes. We also cover the implementation of horizontal flip augmentation.
7 years ago
Featured
public
Quilt
Reproducible machine learning with PyTorch and Quilt
In this article, we'll use Quilt to transfer versioned training data to a remote machine. We'll start with the Berkeley Segmentation Dataset, package the dataset, then train a PyTorch model for super-resolution imaging.
By
Aneesh Karve
Training an LSTM network and sampling the resulting model in ml5.js
In this post, we will learn how to train a language model using a LSTM neural network with your own custom dataset and use the resulting model inside so you will able to sample from it directly from the browser!
7 years ago
By
Ravi Munde
Vectorization and Broadcasting with Pytorch
Next time you're wondering why your machine learning code is running slowly, even on a GPU, consider vectorizing any loopy code!
By
Amin Manna
