Skip to content

Actions: keras-team/keras

Actions

Labeler

Actions

Loading...
Loading

Show workflow options

Create status badge

Loading
labeler.yaml
2,573 workflow runs
2,573 workflow runs

Filter by Event

Filter by Status

Filter by Branch

Filter by Actor

fix(layers): Fix compute_dtype handling for complex-valued inputs in Dense layer Labeler #2585: Pull request #20823 opened by harshaljanjani
January 29, 2025 09:27 13s
January 29, 2025 09:27 13s
mlx merge master Labeler #2584: Pull request #20822 opened by acsweet
January 29, 2025 08:17 13s
January 29, 2025 08:17 13s
Add signbit and fix argmin and argmax Labeler #2583: Pull request #20821 opened by james77777778
January 29, 2025 07:11 17s
January 29, 2025 07:11 17s
Fix deserialization issue with custom_loss function while reloading Labeler #2582: Pull request #20820 opened by Surya2k1
January 28, 2025 18:45 16s
January 28, 2025 18:45 16s
mlx - fix error with loading models with h5 and update mlx.core.while_loop Labeler #2581: Pull request #20819 edited by acsweet
January 28, 2025 18:27 13s
January 28, 2025 18:27 13s
mlx - fix error with loading models with h5 and update mlx.core.while_loop Labeler #2580: Pull request #20819 edited by acsweet
January 28, 2025 18:26 16s
January 28, 2025 18:26 16s
mlx - fix error with loading models with h5 and update mlx.core.while_loop Labeler #2579: Pull request #20819 opened by acsweet
January 28, 2025 10:55 12s
January 28, 2025 10:55 12s
I coldnt find pool_function in library Labeler #2578: Issue #20818 opened by azizyucelen
January 27, 2025 21:14 23s
January 27, 2025 21:14 23s
Add random_gaussian_blur layer Labeler #2577: Pull request #20817 edited by shashaka
January 27, 2025 09:53 16s
January 27, 2025 09:53 16s
Add random_gaussian_blur layer Labeler #2576: Pull request #20817 opened by shashaka
January 27, 2025 09:38 15s
January 27, 2025 09:38 15s
implement remaining functions in mlx.numpy.py Labeler #2575: Pull request #20816 opened by acsweet
January 27, 2025 09:30 17s
January 27, 2025 09:30 17s
fix(layers): Fix incorrect masked mean/variance in BatchNormalization layer Labeler #2574: Pull request #20815 opened by harshaljanjani
January 27, 2025 05:52 11s
January 27, 2025 05:52 11s
Problem with using masking in Embedding Layer for POS Tagging Model Labeler #2573: Issue #20754 edited by N0-Regrets
January 27, 2025 04:44 15s
January 27, 2025 04:44 15s
Problem with using masking in Embedding Layer for POS Tagging Model Labeler #2572: Issue #20754 edited by N0-Regrets
January 27, 2025 04:41 12s
January 27, 2025 04:41 12s
Add max_pool and average_pool for MLX Labeler #2571: Pull request #20814 opened by fbadine
January 26, 2025 22:13 12s
January 26, 2025 22:13 12s
Cannot call legacy (saved with Keras 2) SavedModel models that have multiple inputs on Keras 3 Labeler #2570: Issue #20813 opened by fegemo
January 26, 2025 14:39 12s
January 26, 2025 14:39 12s
fix(ops): Fix ops.argmin() handling of subnormal float values in Keras backends Labeler #2569: Pull request #20812 opened by harshaljanjani
January 25, 2025 18:40 12s
January 25, 2025 18:40 12s
implement remaining functions in mlx.nn.py excluding pooling Labeler #2568: Pull request #20811 opened by acsweet
January 25, 2025 11:44 12s
January 25, 2025 11:44 12s
Fix reference to nonexistent namespace in error message Labeler #2567: Pull request #20810 opened by jurca
January 24, 2025 10:42 12s
January 24, 2025 10:42 12s
Tensorboard not working with Trainer Pattern Labeler #2566: Issue #20809 opened by GeraudK
January 24, 2025 09:58 13s
January 24, 2025 09:58 13s
fix(ops): Handle floating-point edge cases in ops.argmax() Labeler #2565: Pull request #20808 opened by harshaljanjani
January 24, 2025 05:36 13s
January 24, 2025 05:36 13s
mlx - more conv Labeler #2564: Pull request #20807 opened by acsweet
January 24, 2025 01:18 12s
January 24, 2025 01:18 12s
Error deserializing saved model after Keras bump 3.6 -> 3.7 Labeler #2563: Issue #20806 opened by cloudbopper
January 23, 2025 20:16 14s
January 23, 2025 20:16 14s
Results of the Conv2D layer are not identical across backends Labeler #2562: Issue #20804 edited by Dobiasd
January 23, 2025 19:39 16s
January 23, 2025 19:39 16s
Results of the Conv2D layer are not identical across backends Labeler #2561: Issue #20804 edited by Dobiasd
January 23, 2025 19:38 12s
January 23, 2025 19:38 12s