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…

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...

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We are very excited to add post-training float16 quantization as part of the Model Optimization Toolkit. It is a suite of tools that…

Posted by Suyog Gupta and Mingxing Tan, Software Engineers, Google Research For several decades, computer processors have doubled their performan...

GraphVite: A General and High-performance Graph Embedding System - GitHub - DeepGraphLearning/graphvite: GraphVite: A General and High-performance Graph Embedding System