Comparative benchmarks of CNN models for detecting gunshot holes in targets, aiming at identifying top-performing architectures in accuracy and efficiency.

Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs

NM (Neural Module). It is a scheme for the mindustry game. It is a tool for simulation and training of neural networks (yes, right in the game). NM has its own request-response language, thanks to which you can manage and configure NM. NM uses the Forward-Forward algorithm (presented by Jeffrey Hinton, at the NeurIPS 2022 conference)

Neural network potentials

Hyperparameters Tuning of Deep Unfolding Networks for Image Enhancement (MPSO-DUN)

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Python package for extracting representations from state-of-the-art computer vision models

Generating Neural Spatial Interaction Tables

High-efficiency floating-point neural network inference operators for mobile, server, and Web

EBOP Model Automatic input Value Estimation Neural network

Artificial Intelligence > Machine Learning > Deep Learning

⚡Delightful WebNN resources, curated list of awesome things around WebNN ecosystem.😎

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013

Deep Learning for humans

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

All the Data Science projects I've done, during the course, or after.

PhD Candidate in Artificial Intelligence. Applying machine learning to fish oil analysis.

2020年度駒澤大学心理学特講IIIA

Machine learning and deep learning tutorials, articles and other resources. With repository stars⭐ and forks🍴