Apple releases MLX for Apple Silicon

1. mlx

   1 28 20,193 9.8 C++

   MLX: An array framework for Apple silicon

   

   https://github.com/ml-explore/mlx MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.

2. Judoscale

   judoscale.com featured

   Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

   

3. Pytorch

   2 387 88,992 10.0 Python

   Tensors and Dynamic neural networks in Python with strong GPU acceleration

   

   The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire.

4. jax

   3 89 31,945 10.0 Python

   Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

   

   The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire.

5. mlx-examples

   4 32 7,300 9.4 Python

   Examples in the MLX framework

   

   The MLX examples repo has a variety of examples, including:

Suggest a related project