Recursion Cellular Image Classification Competition
- Next 10 days - Prepare and Experiment with models on MNIST/CIFAR dataset
- Create the model framework (RINTU)
- Distribute the necessary information in the GitHub repository (anyone interested)
- Machine learning algorithms (Elastic net, logistic regression, SVM and random forest). Perform feature selection or derive latent features from the images and use as variables in the model (Rintu)
- Deep learning or reinforcement learning or GAN algorithms (Kartik, Ishita, Ahsan, Anmol)
- Make env for Hover-Net
- FIRE Implement
- Quick Visualisation and Exploratory Data Analysis: https://www.kaggle.com/jesucristo/quick-visualization-eda
- https://www.kaggle.com/apap950419/visualizing-batch-effects-with-t-sne
- https://arxiv.org/pdf/1812.06499v4.pdf : HoVer Net, Code : https://github.com/vqdang/hover_net
- https://github.com/princethewinner/FiRE/blob/master/R/FiRE/src/FiRE.h : FIRE C++ Implementation