GraphGallery: a library for graph neural networks on PyTorch and TensorFlow
2 March 2021
GraphGallery: a library for graph neural networks on PyTorch and TensorFlow
GraphGallery is a library for training and testing graph neural networks. GraphGallery implements adversarial attacks on graph neural networks. The library is compatible with PyTorch, TensorFlow 2.x, Pytorch Geometric (PyG),…
CSTR neural network recognizes text in scene images
1 March 2021
CSTR neural network recognizes text in scene images
CSTR is a convolutional neural network that recognizes text in scene images. The previous work considers the problem of text recognition on a scene image as a segmentation and seq2seq…
TransGAN: two Transformer models as one GAN
26 February 2021
TransGAN: two Transformer models as one GAN
TransGAN is a GAN model in which the generator and discriminator are composed of two Transformer architectures. GAN architecture traditionally uses convolutions. In TransGAN, convolutions are replaced with Transformer. The…
Google presented the framework for ML-model architecture automatic search
23 February 2021
Google presented the framework for ML-model architecture automatic search
Model search (MS) is a library that uses ML model architecture automatic search algorithms. The developers claim that the framework scales in cases when the state search space appears large.…
Twitter Opens Tweet Archive for Scientific Researchers
20 February 2021
Twitter Opens Tweet Archive for Scientific Researchers
Twitter has opened an archive of tweets for scientific researchers. This way the IT-company supports research on online discourse and trends on the platform. More data and access to them…
DAF:re – new public dataset for recognizing anime characters
20 February 2021
DAF:re – new public dataset for recognizing anime characters
DAF:re is a public dataset for recognizing anime characters. The dataset consists of 500 thousand images with 3000 object classes. Data across classes is not evenly distributed. Besides, the researchers…
Robot manage objects from video tutorials using RL
19 February 2021
Robot manage objects from video tutorials using RL
In FAIR, the RL-agent was trained to manage objects using video tutorials. Standard RL algorithms are trained to a problem iteratively through learning from errors. The proposed algorithm learns a…
SAM: the neural network changes the age on the image of a person’s face
17 February 2021
SAM: the neural network changes the age on the image of a person’s face
SAM is a neural network model that changes the age of a person in an image. The model takes as input an image of a person’s face and target age.…
Neural network generates photo captions for people with vision problems
17 February 2021
Neural network generates photo captions for people with vision problems
A neural network from Facebook AI generates descriptions for photos for users with vision problems. The app uses object recognition to generate textual descriptions of the image. It makes the…
MeInGame neural network generates game character from a face image
15 February 2021
MeInGame neural network generates game character from a face image
MeInGame is a neural network model that generates a character in the game from one face image. The neural network predicts the shape of the face and its texture. The…
JigsawGAN: Generative neural network model solves jigsaw puzzles
11 February 2021
JigsawGAN: Generative neural network model solves jigsaw puzzles
JigsawGAN is a self-supervised generative neural network model that has been trained on a puzzle-solving task. The model accepts chaotically located parts of the image as input and outputs the…
TracIn: a way to evaluate the impact of specific data on model predictions
10 February 2021
TracIn: a way to evaluate the impact of specific data on model predictions
TracIn is a scalable method for assessing the impact of individual features in data on predictions. The idea behind TracIn is to track the learning process of the model to…
TAPAS neural network looks for answers in tabular data
30 January 2021
TAPAS neural network looks for answers in tabular data
TAPAS is a neural network model for finding answers to questions in tabular data. The neural network is an extension of the BERT bi-directional Transformer model with special embeddings looking…
FaceX-Zoo: PyTorch library for face recognition in images
29 January 2021
FaceX-Zoo: PyTorch library for face recognition in images
FaceX-Zoo is an open-source library on PyTorch for recognizing faces in images. The library provides a module for training models with different configurations of error functionality and basic architecture. In…
Pile: 825-gigabyte open-source dataset for language models training
28 January 2021
Pile: 825-gigabyte open-source dataset for language models training
Pile is an 825 gigabyte dataset for teaching language models. The dataset consists of 22 smaller datasets, which are combined into one. In addition to the dataset, the creators published…
Pixellib: library for object segmentation in photos and videos
28 January 2021
Pixellib: library for object segmentation in photos and videos
Pixellib is a library for the task of segmenting objects in images and videos. The library supports two main types of object segmentation: semantic and instance segmentation. The complexity of…
RxR: Google Released New Dataset and Challenge On Robot Navigation Using Language
22 January 2021
RxR: Google Released New Dataset and Challenge On Robot Navigation Using Language
A group of researchers from Google has announced the release of a new dataset and benchmark for navigation instruction called Room-across-Room (RxR). Robotic navigation is one of the major challenges…
New AI System Can Predict If a COVID Patient Will Need Intensive Care
21 January 2021
New AI System Can Predict If a COVID Patient Will Need Intensive Care
Researchers from Facebook AI have open-sourced a method and a system that can predict if a Covid patient will need intensive care, using chest x-ray images and self-supervised learning. In…
PaddleSeg: A New Toolkit for Efficient Image Segmentation
20 January 2021
PaddleSeg: A New Toolkit for Efficient Image Segmentation
Researchers from Baidu Inc. have announced the release of a novel image segmentation toolkit called PaddleSeg. The development kit was built in order to help researchers and engineers working in…
Switch Transformer: Google’s New Language Model Features Trillion Parameters
19 January 2021
Switch Transformer: Google’s New Language Model Features Trillion Parameters
There’s been a lot of hype around OpenAI’s powerful GPT-3 model, which proved to be able to spin novel super-realistic human-like articles but also tackle many different NLP tasks using…
Researchers Re-labeled ImageNet Introducing Multi-labels and Localized Annotations
17 January 2021
Researchers Re-labeled ImageNet Introducing Multi-labels and Localized Annotations
A large portion of the research experiments in Computer Vision in the past decade were using the ImageNet dataset. Over the years it has become the default and standard benchmark…