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agml

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

binf-531-term-project

Fork of the main Bionformatics Class Project that I will add my work to (see root for final product).

bioponicsbioreactor

bioreactor-modelling

bulk-updater

cbe30338

Chemical Process Control

comp551-notebooks

Code provided for the Applied Machine Learning course (COMP 551)

constellation

Le système distribué et ouvert pour le partage de données scientifiques.

deepbioreactormodelling

fastai

The fastai deep learning library

generaltreemodels

json-c

https://github.com/json-c/json-c is the official code repository for json-c. See the wiki for release tarballs for download. API docs at http://json-c.github.io/json-c/

kutbal_ya_atitlan

lassi-ilakkanangal

ml-doctor

Code for ML Doctor

nbdev_tutorial

A sample of how to create a deck of cards lib using nbdev (following the fastai nbdev tutorial)

patch-torch-save

Patches the torch.save function with arbitrary code that gets executed upon torch.load.

soildatabase

sslremotesensing

Codes for paper "Semantic Segmentation of Remote Sensing Images With Self-Supervised Multitask Representation Learning"

supcontrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

swatplus

A mirror of the GitLab project swatplus.

swatplus-tinamit-coupling

swatpyplus

tinamit

Conexión fácil de modelos de dinámicas de sistemas con modelos biofísicos.

tinamit_idm

tinypets

Minimal JS image classifiers

transferlearningforagriculture

This is the code to accompany the Honours Thesis: "The Utility of Transfer Learning Transformers for Agricultural Deep Learning Applications" by Joel Z. Harms

vector-field-demo

Java application to demonstrate what vector fields are and how they work

yikbalruxetzijnaoj

Jawra k'olib'al rxin yikb'al ruxe'tzij na'ouj rxin k'utb'al samaj konxik tzrij Ya' Atitlán.