🔥Singing voice conversion system developed at FAIR-Tel Aviv.

This can transform someone's singing voice into someone else's voice.

YouTube: https://www.youtube.com/watch?v=IEpkGenLnjw
Link: https://venturebeat.com/2019/04/16/facebooks-ai-can-convert-one-singers-voice-into-another/
ArXiV: https://arxiv.org/abs/1904.06590

#voiceconversion #audiolearning #DL #Facebook

All videos & slides from Scaled Machine Learning Conference 2019

YouTube playlist: https://www.youtube.com/playlist?list=PLRM2gQVaW_wWXoUnSfZTxpgDmNaAS1RtG

#Facebook #dl #ScaledML2019

New deep learning framework from Facebook

Pythia is a deep learning framework that supports multitasking in the vision and language domain. Built on our open-source #PyTorch framework, the modular, plug-and-play design enables researchers to quickly build, reproduce, and benchmark AI models. #Pythia is designed for vision and language tasks, such as answering questions related to visual data and automatically generating image captions.

Link: https://code.fb.com/ai-research/pythia/
GitHub: https://github.com/facebookresearch/pythia

#Facebook #FacebookAI #DL #CV #multimodal

​​Accelerating MRI reconstruction via active acquisition

Researchers from #Facebook AI propose a new approach to MRI reconstruction that restores a high fidelity image from partially observed measurements in less time and with fewer errors.

Link: https://ai.facebook.com/blog/accelerating-mri-reconstruction/
Paper link: https://research.fb.com/publications/reducing-uncertainty-in-undersampled-mri-reconstruction-with-active-acquisition/

#CV #DL #CVPR2019 #healthcare #MRI #biolearning

Intro to Pythia — Visual Question Answering framework from Facebook

Pythia works in terms of #VQA by taking input picture and question and providing the answer to the latter in terms of picture semantics.


Link: https://link.medium.com/dknDKSuVqX
Previously: https://t.me/opendatascience/812

#DL #facebook #pythia #VQA #opensource

​​💣New open-source recommender system from Facebook.

Facebook is open-sourcing DLRM — a state-of-the-art deep learning recommendation model to help AI researchers and the systems and hardware community develop new, more efficient ways to work with categorical data.

Link: https://ai.facebook.com/blog/dlrm-an-advanced-open-source-deep-learning-recommendation-model/
Github: https://github.com/facebookresearch/dlrm
ArXiV: https://arxiv.org/abs/1906.03109

#Facebook #DLRM #recommender #DL #PyTorch #Caffe

Facebook open sourced video alignment algorithms that detect identical and near identical videos to build more robust defenses against harmful visual content.

Project page: https://newsroom.fb.com/news/2019/08/open-source-photo-video-matching/
Code: https://github.com/facebookresearch/videoalignment

#Facebook #video #cv #dl

​​Long-form question answering

Facebook AI shared the first large-scale data set, code, and baseline models for long-form QA, which requires machines to provide long, complex answers — something that existing algorithms have not been challenged to do before.

Link: https://ai.facebook.com/blog/longform-qa/

#FacebookAI #Facebook #NLP #NLU #QA

Open-sourcing hyperparameter autotuning for fastText

Facebook AI researchers are releasing a new feature for the fastText library which provides hyper-parameter autotuning for more efficient text classifiers.

Link: https://ai.facebook.com/blog/fasttext-blog-post-open-source-in-brief/

#FacebookAI #Facebook #FastText #NLU #NLP

​​New fastMRI challenge from #FacebookAI team

Submission deadline: September 19

Announcement link: https://ai.facebook.com/blog/fastmri-challenge/
Competition link: https://fastmri.org/

#Competition #NotOnlyKaggle #Facebook #CV #DL