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MLX
MLX is a NumPy-like array framework designed for efficient and flexible machine learning on Apple silicon, brought to you by Apple machine learning research.
- GitHub: https://github.com/topics/mlx
- Created by: Apple
- Released: December 13, 2023
- Aliases: ml-explore,
- Last updated: 2025-01-09 00:22:43 UTC
- JSON Representation
https://github.com/andreyvdl/42-so_long
My so_long project
42 42saopaulo c makefile minilibx mlx solong
Last synced: 21 Dec 2024
https://github.com/Aavache/mlx-resnet
ResNet implementation with the MLX, Apple's DL framework.
apple computer-vision deep-learning machine-learning mlx mnist resnet
Last synced: 07 Nov 2024
https://github.com/andersonhsporto/ft-minirt
O miniRT implementa algoritmos matemáticos avançados para simular a trajetória dos raios de luz em um ambiente tridimensional. Isso inclui cálculos de interseção entre raios e objetos geométricos, como esferas, cilindros, cones e planos, levando em consideração reflexões, sombras e refrações.
ansi-c c makefile minirt mlx raytracing
Last synced: 17 Jan 2025
https://github.com/baltsaros/cub3d
Maze with a dynamic view based on ray-casting
Last synced: 16 Dec 2024
https://github.com/aminya/mlxtools.m
Convert mlx files to m files and vice versa
conversion convert extension file m matlab mlx
Last synced: 13 Jan 2025
https://github.com/ivanfioravanti/wine_variety_classification
Examples on how to use various LLM providers with a Wine Classification problem
Last synced: 06 Jan 2025
https://github.com/osmosx/cub3d
[cub3d] project school 42. We learn about raycasting and try to recreate the original Wolfenstein 3d game.
42 cub3d minilibx mlx raycasting
Last synced: 11 Jan 2025