Plotly.py is the library that powers graphs and maps for Dash. Version 4.0 of Plotly.py (also known as the plotlymodule) is now available…

Semi-supervised learning is the challenging problem of training a classifier in a dataset that contains a small number of labeled examples and a much larger number of unlabeled examples. The Generative Adversarial Network, or GAN, is an architecture that…

A guest post by Kyle A. Pearson

The Least Squares Generative Adversarial Network, or LSGAN for short, is an extension to the GAN architecture that addresses the problem of vanishing gradients and loss saturation. It is motivated by the desire to provide a signal to the generator about fake…

We introduce MultiDepth, a novel training strategy and convolutional neural
network (CNN) architecture that allows approaching single-image depth
estimation (SIDE) as a multi-task problem. SIDE is...

In the last few years there have been important advancements in generative models with the two dominant approaches being Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)....

Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We can think of semantic segmentation… Continue reading A 2019…

Image-to-image translation is the controlled conversion of a given source image to a target image. An example might be the conversion of black and white photographs to color photographs. Image-to-image translation is a challenging problem and often requires…

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423 - facebookresearch/FixRes

Reference models and tools for Cloud TPUs. Contribute to tensorflow/tpu development by creating an account on GitHub.

The Pix2Pix GAN is a generator model for performing image-to-image translation trained on paired examples. For example, the model can be used to translate images of daytime to nighttime, or from sketches of products like shoes to photographs of products.…

Don’t know anything about GAN? You’ve come to the right place!

Reinforcement learning algorithms, though successful, tend to over-fit to training environments hampering their application to the real-world. This paper proposes $\text{W}\text{R}^{2}\text{L}$ --...

Let's uncover the Top 10 NLP trends of 2019.

Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. You can now use these models in spaCy, via a new interface library we've developed that connects spaCy to Hugging Face's awesome implementations.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes. - Lightning-AI/pytorch-lightning

We develop a new computational framework to solve the partial differential
equations (PDEs) governing the flow of the joint probability density functions
(PDFs) in continuous-time stochastic...