deeplabv3plus (Google's new algorithm for semantic segmentation) in keras:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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Updated
Mar 25, 2018 - Python
deeplabv3plus (Google's new algorithm for semantic segmentation) in keras:Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Code for the Kaggle challenge "Bristol-Myers Squibb – Molecular Translation"
2nd place solution to Kaggle's Cdiscount image classification challange.
Kaggle Publications: Explaining the summary and publishing Kaggle Medals Award Python Code in Data Science and Artificial Intelligence
Kaggle Kuzushiji Recognition Solution
7th Place Solution for Bristol-Myers Squibb – Molecular Translation on Kaggle
1st place solution to Kaggle's 2018 YouTube-8M Video Understanding Challenge
PyTorch implementation of Center Loss & Contrastive-Center Loss.
27th Place Solution for PetFinder Adoption Prediction on Kaggle
53rd Place Solution for Quora Insincere Questions Classification on Kaggle
1st place solution for SIIM-FISABIO-RSNA COVID-19 Detection Challenge
The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.
A script for balancing predictions which helps in achieving high results on Kaggle
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