Все публикации

Gene Kogan | Machine learning for creativity

Alex Farseev | Under the Boot of Google and Facebook and How to Crack it for better Performance

Artem Koval | Cloud-Native MLOps Framework

Data Fest Online 2021 | IGLU Competition @ NeurIPS 2021

Prince Canuma | Catalyst integration with Neptune

Catalyst integration with Wandb

Bag of tricks for image classification — Artur Kuzin

Segmentation without pain — Yury Bolkonsky, Andrei Dukhounik

Use leaks for validation Kaggle ASHRAE Great Energy Predictor III — Yury Bolkonsky

Time series met AutoML Codalab Automated Time Series Regression — Denis Vorotyntsev

DL for 6D Pose Estimation for Self Driving Cars — Adel Valiullin

2 Competitions 1 Unet SpaceNet 5 Challenge & The 3rd Tellus Satellite Challenge — Ilya Kibardin

Bruno Mlodozeniec: Ensemble Distribution Distillation - Classification

Evgenii Zheltonozhskii: Entropy Encoding for CNN Inference

Mike Ivanov: FPGA and ASIC in datacenters

Dmitry Khizbullin: Overview of DaVinci compute architecture for Deep Learning training and inference

Denis Gudovskiy: Embedded Computer Vision for Autonomous Systems

Simon Thye Andersen: Neural Networks in FPGAs

Mikhail Druzhinin: Open Data Science Open Source. Albumentations

Dmitry Petrov: Open Data Science Open Source. DVC & CML

Maksim Sharaev: AI for biomedical tasks: trustworthy datasets and labeling

Stepan Kudin, Alexander Notchenko: Reconstruction of the dental crown from single image

ML in Healthcare Track Premiere

Sergey Plis: Machine learning and neuroimaging