Add JAX and Keras files

content/opensource_packages/JAX.md

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+---
+name: JAX
+category: AI/ML
+description: JAX is a Python library for program transformation and accelerator-oriented array computation. It is designed for large-scale machine learning and high-performance numerical computing.
+download_url: https://pypi.org/project/jax/#history
+works_on_arm: true
+supported_minimum_version:
+    version_number: 0.0
+    release_date: 2018/12/8
+
+
+optional_info:
+    homepage_url: https://jax.readthedocs.io/en/latest/index.html
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content: https://learn.arm.com/learning-paths/servers-and-cloud-computing/keras-core/install_dependencies/
+        partner_content:
+        official_docs: https://jax.readthedocs.io/en/latest/installation.html
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: There are no Linux/ARM64 release notes. JAX can be installed via pip on the Neoverse N1, from the first release itself.
+
+---

content/opensource_packages/keras.md

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+---
+name: Keras
+category: AI/ML
+description: Keras is a deep learning framework, with support for TensorFlow, JAX, and PyTorch. Keras effortlessly build and train models for computer vision, audio processing, natural language processing, recommender systems, timeseries forecasting, etc.
+download_url: https://pypi.org/project/keras/#history
+works_on_arm: true
+supported_minimum_version:
+    version_number: 2.0.8
+    release_date: 2017/8/26
+
+
+optional_info:
+    homepage_url: https://keras.io/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content: https://learn.arm.com/learning-paths/servers-and-cloud-computing/keras-core/
+        partner_content:
+        official_docs: https://keras.io/getting_started/
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: There are no Linux/ARM64 release notes. Keras can be installed via pip on the Neoverse N1, from version 2.0.8 onwards, prior versions fail to build.
+
+---