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An ongoing list of pandas quirks
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
SC-CAM: Weakly-Supervised Semantic Segmentation via Sub-category Exploration (CVPR 2020)
This project aims to use the instance colorization model and apply it to video in a time consistent manner
This is my solution for the RecVis Challenge where i ended 1st on fine-grained classification on bird dataset
relevant Lab sessions & Homeworks in Machine Learning/Deep learning
this repo contains some machine learning scripts for various applications
kaggle challenge (https://www.kaggle.com/c/gan-getting-started/overview) , using Gan to generate Monet-style images.
private kaggle challenge : https://www.kaggle.com/c/mva-recvis-2020/
Evaluation of the Layoutlm model on the CORD dataset
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
The fastai book, published as Jupyter Notebooks