ml-explore/mlx
mlx
MLX: An array framework for Apple silicon
Builder

ml-explore
ml-explore • individual
Stars
25,001
Using upstream star count
Forks
1,633
Using upstream fork count
Open Issues
0
Activity Score
0/100
0 commits in 30d
Created
Nov 28, 2023
Project creation date
README Summary
MLX is an array framework designed specifically for machine learning on Apple silicon, offering NumPy-like APIs with automatic differentiation and lazy evaluation. It provides both Python and C++ APIs for building and training neural networks efficiently on Apple's M-series chips. The framework emphasizes ease of use while leveraging the unique capabilities of Apple silicon hardware.
AI Dev Skills
Unmapped
Tags
Taxonomy
Deployment Context
Modalities
Skill Areas
Recent Activity
Updated 27 days ago
7 Days
0
30 Days
0
90 Days
0
Quality
beta- Quality
- high
- Maturity
- beta
Categories
PM Skills
Languages
Timeline
- Project created
- Nov 28, 2023
- Forked
- Mar 13, 2026
- Your last push
- 27 days ago
- Upstream last push
- 7 days ago
- Tracked since
- Mar 17, 2026
Similar Repos
pgvector cosine similarity · $0
Loading…