A project developed and maintained as part of the aim at bringing current capabilities in machine learning and artificial intelligence into practical use for non-programmers and average computer users.
Repositórios
Repositórios de OlafenwaMoses
(14 stars) (12 forks) (0 issues indexadas) (0 good first issues abertas)
(1 star) (0 forks) (0 issues indexadas) (0 good first issues abertas)
(1 star) (0 forks) (0 issues indexadas) (0 good first issues abertas)
A dataset of traffic, fire and accident images for training deep learning models.
(160 stars) (52 forks) (0 issues indexadas) (0 good first issues abertas)
A collection of experiences utilizing machine learning models with Fritz
(4 stars) (27 forks) (0 issues indexadas) (0 good first issues abertas)
OlafenwaMoses/imageai-frPython
(1 star) (6 forks) (0 issues indexadas) (0 good first issues abertas)
OlafenwaMoses/kerasPython
Deep Learning for humans
(3 stars) (0 forks) (0 issues indexadas) (0 good first issues abertas)
Python bindings for llama.cpp
(0 stars) (0 forks) (0 issues indexadas) (0 good first issues abertas)
Port of Facebook's LLaMA model in C/C++
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(1 star) (0 forks) (0 issues indexadas) (0 good first issues abertas)
The repository provides code for running inference and training for "Segment and Caption Anything" (SCA) , links for downloading the trained model checkpoints, and example notebooks / gradio demo that show how to use the model.
(0 stars) (0 forks) (0 issues indexadas) (0 good first issues abertas)
OlafenwaMoses/vizion3DPython
3D Capability and Intelligence for the real world.
(2 stars) (0 forks) (0 issues indexadas) (0 good first issues abertas)