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followers: 24.0 following: 31.0 repos: 56.0 gists: 6.0

Name: Douglas Amante

Type: User

Company: @sutd

Bio: ആഗോള സമ്പദ്‌വ്യവസ്ഥയെ തകർക്കുന്ന സാങ്കേതികവിദ്യ സൃഷ്ടിക്കുന്നു.

Location: Singapore

Douglas Amante's Projects

alpha-mine-chatbot

Alpha-Mine v.1.0. an Artificial Intelligence ChatBot with general purpose... from wisdom to jokes 'See the README for more information'.

artificial-general-intelligence-agi

This repository contain learning resource for Machine Learning, Deep Learning and Artificial General Intelligence.

atomspace

The OpenCog (hyper-)graph database and graph rewriting system

awesome-agi-cocosci

An awesome & curated list for Artificial General Intelligence, an emerging inter-discipline field that combines artificial intelligence and computational cognitive sciences.

awesome-artificial-general-intelligence

Resources about Artificial General Intelligence

awesome-llm

Awesome-LLM: a curated list of Large Language Model

awesome-llm-kg

Awesome papers about unifying LLMs and KGs

awesome-solidity

⟠ A curated list of awesome Solidity resources, libraries, tools and more

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

brainsimulator

Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.

chatdev

Create Customized Software using Natural Language Idea (through Multi-Agent Collaboration)

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deepsphere-pytorch

DeepSphere: a graph-based spherical CNN (PyTorch)

docker

Docker containers for OpenCog - Robot Operating System (ROS)

face-emotion-recognition

Efficient face emotion recognition in photos and videos

fairy-tale-artificial-general-intelligence-solutions

Helping humanity create safe artificial general intelligence through large scale remote collaboration. Working on free and commercial open source software

Magnetic Resonance Imaging (MRI) aims to identify a tumor at earlier stages of the disease, when treatment can be more successful. Despite the existence of screening pro- grammes worldwide, the interpretation of MRIs is affected by high rates of false positives and false negative. Recently deep learning has been playing a major role in the field of computer aided diagnosis. One of its applications is the reduction of human judgment in the diagnosis of diseases. Especially, brain tumor diagnosis requires high accuracy, where errors in judgment may lead to disaster. For this rea- son, brain tumor classification is an important challenge for medical applications. Currently several methods exist for tumor classification but they all lack high accuracy. Here we present an artificial intelligence (AI) system that is capable of surpassing human experts in predicting if an MRI con- tains or not a brain tumor. To assess its performance in the clinical setting, we treated a representative dataset from the department of radiology of the University of Athens. We show an absolute accuracy of 76.8% in predicting if an MRI contains a cancer or a general non-tumor pathology.

hypergraphdb

HyperGraphDB is a general purpose, extensible, portable, distributed, embeddable, open-source data storage mechanism. It is a graph database designed specifically for artificial intelligence and semantic web projects, it can also be used as an embedded object-oriented database for projects of all sizes.

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