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artificial-neural-networks

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Implementing-AI-Systems-Whitepaper

This whitepaper provides best practices and concrete examples for the secure implementation of artificial intelligence in web applications. It covers topics such as security, data protection, ethics, AI models and algorithms, development process, user training, and regulation.

  • Updated Jun 1, 2024

Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.

  • Updated Jun 1, 2024
  • Python
PROJECT-991

Project 991, called Mash, is a groundbreaking initiative that introduces a modern-day Speech-Based AI machine, combining the power of advanced speech recognition and natural language processing techniques with the flexibility of the Python programming language. The project aims to deliver an intuitive and interactive speech-based AI experience.

  • Updated Jun 1, 2024
  • Python

My Matlab Ph.D. thesis coding project: the enhanced version of Tree-like Divide to Simplify (T-DTS) ANN (AI/ML) structure-based tool used for classification tasks. The credits: the v.1.0 was developed by Dr. M. Rybnik under supervision of Prof. K. Madani

  • Updated May 31, 2024
  • MATLAB

The idea to create the perfect LLM currently possible came to my mind because I was watching a YouTube on GaLore, the "sequel" to LoRa, and I realized how fucking groundbreaking that tech is. I was daydreaming about pretraining my own model, this (probably impossible to implement) concept is a refined version of that model.

  • Updated May 31, 2024

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

  • Updated May 31, 2024
  • Python

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