mlx/ACKNOWLEDGMENTS.md

# Individual Contributors

If you wish to be acknowledged for your contributions, please list your name
with a short description of your contribution(s) below. For example:

- Jane Smith: Added the `foo` and `bar` ops.

MLX was developed with contributions from the following individuals:

- Nripesh Niketan: Added `softsign`, `softmax`, `hardswish`, `logsoftmax` activation functions. Added `dropout3d` ops. Added `LogicalAnd` and `LogicalOR` ops. Added `clip_grad_norm` along with `tree_reduce`. Added `cross`. Added `orthogonal` initializer.
- Juarez Bochi: Fixed bug in cross attention.
- Justin Deschenaux: Sine, Cosine, arange, randint, truncated normal, bernoulli, lion optimizer, Dropout2d, linear and logistic regression python example.
- Diogo Da Cruz: Added `tri`, `tril`, `triu`, `tensordot`, `inner`, `outer`, `tile`, `StreamContext`, `stream`, safetensors support, `einsum`, and `einsum_path`.
- Gabrijel Boduljak: Added `mlx.core.linalg`, implemented `norm` method and `InstanceNorm` layer. Implemented pooling layers and ``Upsample``.
- Hinrik Snær Guðmundsson: Added `atleast_1d`, `atleast_2d`, `atleast_3d` ops.
- Luca Arnaboldi: Added `Ceil` and `Floor` ops; implemented pickling, copy and deepcopy for mlx arrays.
- Brian Keene & Atila Orhon, with Argmax Inc.: Added `fast.scaled_dot_product_attention`
- AmirHossein Razlighi: Added chaining support for some of the ops in `nn.Module`. Comparison works for non array objects in `mlx.core.array`. Exception handling for invalid operations in `mlx.core.array`.
- Gleb Pobudzey: Added the `where` primitive, and groups in 1D and 2D convolutions.
- Paul Paczuski: Improved stability of BCE loss calculation
- Max-Heinrich Laves: Added `conv_transpose1d`, `conv_transpose2d`, and `conv_transpose3d` ops.
- Gökdeniz Gülmez: Added the `Muon (MomentUm Orthogonalized by Newton-schulz)` optimizer.

<a href="https://github.com/ml-explore/mlx/graphs/contributors">
  <img class="dark-light" src="https://contrib.rocks/image?repo=ml-explore/mlx&anon=0&columns=20&max=100&r=true" />
</a>

# Organizations

MLX has received contributions from the following companies:
- NVIDIA Corporation & Affiliates

# Third-Party Software

MLX leverages several third-party software, listed here together with
their license copied verbatim.

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