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

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 ...

Abstract: With the rapid development of computer vision technology, image recognition, as one of its core tasks, plays an important role in several industries. However, traditional image recognition ...

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, ...

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 ...

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 ...