State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
13.59k
stars
3.24k
forks
source link
Projeto liliti stk 3.6.9 inteligência artificial multimidal #1398
Note of Repudiation for Negligence to the Liliti STK Project 3.6.9
I, Felipe Marcos de Abreu Aquino, data scientist and machine learning engineer, express my vehement repudiation of the negligence and omission shown by large corporations in relation to the liliti stk 3.6.9 project – a pioneering initiative in artificial intelligence aimed at technological innovation and the sustainability of our planet.
It is unacceptable that in an era where technology holds the power to transform realities and drive significant advances, revolutionary projects such as liliti stk 3.6.9 are ignored. The indifference of these companies not only devalues the effort and expertise invested in the development of this tool, but also slows down collective progress towards a more promising and sustainable future.
The omission of these entities reflects a myopic vision and a lack of commitment to the advancement of science and technology, which are crucial to facing environmental challenges
Note of Repudiation for Negligence to the Liliti STK Project 3.6.9
I, Felipe Marcos de Abreu Aquino, data scientist and machine learning engineer, express my vehement repudiation of the negligence and omission shown by large corporations in relation to the liliti stk 3.6.9 project – a pioneering initiative in artificial intelligence aimed at technological innovation and the sustainability of our planet.
It is unacceptable that in an era where technology holds the power to transform realities and drive significant advances, revolutionary projects such as liliti stk 3.6.9 are ignored. The indifference of these companies not only devalues the effort and expertise invested in the development of this tool, but also slows down collective progress towards a more promising and sustainable future.
The omission of these entities reflects a myopic vision and a lack of commitment to the advancement of science and technology, which are crucial to facing environmental challenges