cassava
There are 1 repository under cassava topic.
haskell-hvr / cassava
A CSV parsing and encoding library optimized for ease of use and high performance
Language:Haskell 219kozodoi / Kaggle_Leaf_Disease_Classification
Cassava leaf disease classification with CNNs and Transformers (top-1% Kaggle solution)
Language:Jupyter Notebook 39melihbaydar / fine_grained.pytorch
This is a PyTorch implementation of Kaggle's Cassava Disease Visual Classification challenge (5th place in private leaderboard)
Language:Python 12- Cassava-Leaf-Disease-Classification
dimitreOliveira / Cassava-Leaf-Disease-Classification
Repository for the "Cassava Leaf Disease Classification" Kaggle competition.
Language:Jupyter Notebook 11 - Language:TypeScript 5
wolfemd / PredictOutbredCrossVar
Reproducible documentation: Wolfe et al. Genomic mating in outbred species: predicting cross usefulness with additive and total genetic covariance matrices
Language:R 3georgezoto / Coding-in-TensorFlow
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 🎉
Language:Jupyter Notebook 2WevertonGomesCosta / Genomic-Selection-for-Drought-Tolerance-Using-Genome-Wide-SNPs-in-Casava
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.
Language:R 2IsraelAbebe / cassava_disease_classification
Classify pictures of cassava leaves into 1 of 4 disease categories (or healthy)
Language:Jupyter Notebook 1This project documents informatics and genomic prediction to support the National Root Crop Research Institute 2021 cassava genomic selection breeding program.
Language:R 1- Language:Jupyter Notebook 0
IPSP-CNR-Bioinformatics / Manihot_esculenta
Virus detection in Cassava BioProjects
0vodanhbk95 / classification_pytorch
I implement this repo for solving classification problem with Pytorch.
Language:Python 0Este 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.
Language:R 0- Language:TypeScript
