This is a PyTorch implementation of Kaggle's Cassava Disease Visual Classification challenge (5th place in private leaderboard)

Classify pictures of cassava leaves into 1 of 4 disease categories (or healthy)

Nothing strengthens better your knowledge in Deep Learning than coding an actual model and application. Take the 5 week challenge with Robert, David and George and join us each Friday for a fun and engaging hands-on coding session using TensorFlow 🎉

I implement this repo for solving classification problem with Pytorch.

Repository for the "Cassava Leaf Disease Classification" Kaggle competition.

This project documents informatics and genomic prediction to support the National Root Crop Research Institute 2021 cassava genomic selection breeding program.

Reproducible documentation: Wolfe et al. Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices

Virus detection in Cassava BioProjects

Private Giftbit routes for use with Cassava.

Cassava leaf disease classification with CNNs and Transformers (top-1% Kaggle solution)

AWS API Gateway Router

Este projeto visa explorar a diversidade genética da mandioca e identificar regiões específicas do DNA associadas ao tamanho dos grânulos de amido. Através de análises genômicas avançadas, buscamos obter insights sobre a relação entre a diversidade genética e características agronomicamente importantes na cultura da mandioca.

This website is a project for analysis of the Genomic Selection for Drought Tolerance Using Genome Wide GBS and/or DART in Cassava by EMBRAPA Mandioca.

A CSV parsing and encoding library optimized for ease of use and high performance

Collection of scripts used in the process of creating and analysing the COL40 cassava assembly.