From a31926433a9ad4a1123ab3cdc4f7c598c630dcc6 Mon Sep 17 00:00:00 2001 From: mohammedsaif-fb <89388988+mohammedsaif-fb@users.noreply.github.com> Date: Mon, 22 Jan 2024 19:01:58 +0000 Subject: [PATCH] Add: MLX Framework --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index b870a39..2e06e77 100644 --- a/README.md +++ b/README.md @@ -1047,6 +1047,7 @@ be * [timm](https://github.com/rwightman/pytorch-image-models) - PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more. * [segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch) - A PyTorch-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images. * [segmentation_models](https://github.com/qubvel/segmentation_models) - A TensorFlow Keras-based toolkit that offers pre-trained segmentation models for computer vision tasks. It simplifies the development of image segmentation applications by providing a collection of popular architecture implementations, such as UNet and PSPNet, along with pre-trained weights, making it easier for researchers and developers to achieve high-quality pixel-level object segmentation in images. +* [MLX](https://github.com/ml-explore/mlx)- MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research. #### Natural Language Processing