When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

Qwen-Image is distributed under the Apache 2.0 license, allowing commercial and non-commercial use, redistribution, and modification — though attribution and inclusion of the license text are ...

secp256k1lab hopes to streamline the development process of cryptographic protocols for BIP proposals with a standard library for secp256k1.

💡 TL;DR: Given an image and nothing else (i.e. no prompts or candidate labels), NOVIC can generate an accurate fine-grained textual classification label in real-time, with coverage of the vast ...

Uncertainty quantification (UQ) in multi-class classification has not received much attention, as UQ research primarily focuses on regression and binary classification tasks, overlooking the unique ...

Watch it in action with this online demo, which uses WebGPU to implement CLIP (Contrastive Language–Image Pre-training) running in one’s browser, using the input from an attached camera.

In this repository, I put into test my newly acquired Deep Learning skills in order to solve the Kaggle's famous Image Classification Problem, called "Dogs vs. Cats". This repository contains code for ...