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Releases: ml-explore/mlx

v0.0.6

22 Dec 02:39
8385f93
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Core

  • quantize, dequantize, quantized_matmul
  • moveaxis, swapaxes, flatten
  • stack
  • floor, ceil, clip
  • tril, triu, tri
  • linspace

Optimizers

  • RMSProp, Adamax, Adadelta, Lion

NN

  • Layers: QuantizedLinear, ALiBi positional encodings
  • Losses: Label smoothing, Smooth L1 loss, Triplet loss

Misc

  • Bug fixes

v0.0.5

13 Dec 22:33
76e1af0
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  • Core ops remainder, eye, identity
  • Additional functionality in mlx.nn
    • Losses: binary cross entropy, kl divergence, mse, l1
    • Activations: PRELU, Mish, and several others
  • More optimizers: AdamW, Nesterov momentum, Adagrad
  • Bug fixes