medium.com/@dbrainio/amaz… Blog post about our #DeepLearning #ComputerVision solution to the last year Kaggle Challenge: Amazon Basin from Space. Organized by @planetlabs. We are 7th out of 900+ teams. Team: Alexander Konstantin Lopukhin Ruslan Baikulov Evgeny Nizhibitsky Vladimir Iglovikov Artur Kuzin Alexey Noskov

Overview of my 2nd place solution of Driven Data Hakuna Ma-data challenge youtu.be/d4PB5SYsLIE via YouTube

Congrats to our teams. Finished 3rd & 7th in Planet: Understanding the Amazon from Space Kaggle #DeepLearning competition! feat Vladimir Iglovikov

Congrats to our data scientists who occupied 8 out of top 10 places in Pathology Segmentation *TCO17* topcoder #DeepLearning competition!

Congrats to Data Scientists of our community who ranked 1,4,6 and 7 out of 735 in Carvana Image Masking Challenge on Kaggle #DeepLearning

Finished 12th out of 627 teams in Kaggle Cdiscount's Image Classification Challenge. #DeepLearning

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis doi.org/10.1101/259911: - feature extraction w/ ResNet50, InceptionV3 & VGG16 - classification: 10 folds×5 seeds×4 scales/crops×3 CNNs=600 LightGBM models Join work w/ Vladimir Iglovikov Alexander Rakhlin 🐩 Alexey Shvets

Top-10 solution for the recent TopCoder competition: How we participated in SpaceNet 3 Road Detector challenge spark-in.me/post/spacenet-… - ensemble of LinkNets w/ ImageNet-trained encoder - building road graph by skeletonizing masks Dockerized #PyTorch code: github.com/snakers4/space…

Congratulations to Alexander Selim Seferbekov and Victor Durnov! x.com/alxndrkalinin/…