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agriculture-foundation-models

ai_in_ag_conference_workshop_4_15_2024

2024 AI in Agriculture and Natural Resources Conference April 15, 2024 - April 17, 2024

awesome-ai-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

builtiin

clearpath-husky-robot-update-ros-1-to-ros-2-foxy

This tutorial is to show you how to update your Clearpath Husky robot from ROS 1 to ROS 2 Foxy.

cotton_water_stress_remote_sensing

Remote Sensing

croppredict

Prediction of crop yields using machine learning.

cs249r_book

Collaborative book Machine Learning Systems

cv_tutorial_1_fundamental

ds_energy

ICPE 638 – Data Science Fundamentals for Energy I

dt-tbx-examples

Code for all the examples in DT book

geog-510

Course website for GEOG-510

geosdemo-haoyu

A python package demo

geoshaha-haoyu

A python package demo for geospatial

hniu-tamu

GitHub profile

icuas24_competition

in-season-cotton-yield-prediction-with-cnn-models

In season cotton yield prediction with CNN regression models and high-resolution UAV RGB images

keras

Keras fundamentals

learning-data-mining-with-python-second-edition

Learning Data Mining with Python Second Edition by Packt

lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

machine-learning-for-computer-vision

manim

Animation engine for explanatory math videos

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns

modern-computer-vision-with-pytorch

Modern Computer Vision with PyTorch, published by Packt

opencv

Open Source Computer Vision Library

python

All Algorithms implemented in Python

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

streamlit-app-demo

timeseries-tutorial-kdd-2022

KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective