Unsloth : The Secret Weapon for Faster Machine Learning Models

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...
IEEE

PIML-SM: Physics-Informed Machine Learning to Estimate Surface Soil Moisture From Multisensor Satellite Images by Leveraging Swarm Intelligence

Abstract: We introduce a physics-informed machine learning (PIML) algorithm based on a feed-forward neural network (FFNN) to estimate surface soil moisture from limited in situ measurements and ...
GitHub

Image-Based Auto Clicker

The Image-Based Auto Clicker is a powerful tool that automates clicking based on image recognition. Developed with Python, it provides a user-friendly graphical interface built using CustomTkinter, ...
GitHub

b-tech-projects

Advanced machine learning projects offer a challenging and rewarding experience, allowing developers to apply theoretical concepts to real-world problems. One project idea is developing a Deep ...
IEEE

Mapping Midaltitude Peatlands Using Sentinel-1/2 Images and Machine Learning in the Mountainous Region of Northeastern China

Abstract: Peatlands, which constitute only 3% of Earth’s land surface, store an estimated 612 Pg of carbon. Due to escalating warming and anthropogenic impacts, numerous peatlands undergo degradation, ...
Nature

Machine-learning model generates images using light

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...