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0:41:29
Gene Kogan | Machine learning for creativity
0:35:51
Alex Farseev | Under the Boot of Google and Facebook and How to Crack it for better Performance
0:11:59
Artem Koval | Cloud-Native MLOps Framework
0:27:13
Data Fest Online 2021 | IGLU Competition @ NeurIPS 2021
0:40:35
Prince Canuma | Catalyst integration with Neptune
0:03:35
Catalyst integration with Wandb
0:23:04
Bag of tricks for image classification — Artur Kuzin
0:16:38
Segmentation without pain — Yury Bolkonsky, Andrei Dukhounik
0:14:18
Use leaks for validation Kaggle ASHRAE Great Energy Predictor III — Yury Bolkonsky
0:32:37
Time series met AutoML Codalab Automated Time Series Regression — Denis Vorotyntsev
0:19:55
DL for 6D Pose Estimation for Self Driving Cars — Adel Valiullin
0:23:01
2 Competitions 1 Unet SpaceNet 5 Challenge & The 3rd Tellus Satellite Challenge — Ilya Kibardin
0:10:21
Bruno Mlodozeniec: Ensemble Distribution Distillation - Classification
0:27:24
Evgenii Zheltonozhskii: Entropy Encoding for CNN Inference
0:17:50
Mike Ivanov: FPGA and ASIC in datacenters
0:27:16
Dmitry Khizbullin: Overview of DaVinci compute architecture for Deep Learning training and inference
0:24:08
Denis Gudovskiy: Embedded Computer Vision for Autonomous Systems
0:30:57
Simon Thye Andersen: Neural Networks in FPGAs
0:06:48
Mikhail Druzhinin: Open Data Science Open Source. Albumentations
0:09:08
Dmitry Petrov: Open Data Science Open Source. DVC & CML
0:19:00
Maksim Sharaev: AI for biomedical tasks: trustworthy datasets and labeling
0:18:39
Stepan Kudin, Alexander Notchenko: Reconstruction of the dental crown from single image
0:05:46
ML in Healthcare Track Premiere
1:07:36
Sergey Plis: Machine learning and neuroimaging
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