* 👥 Update FastAPI GitHub topic repositories. PR [#13667](https://github.com/fastapi/fastapi/pull/13667) by [@tiangolo](https://github.com/tiangolo).
* 🔧 Update links for LinkedIn and bottom. PR [#13669](https://github.com/fastapi/fastapi/pull/13669) by [@tiangolo](https://github.com/tiangolo).

    format(`tf.contrib.saved_model.save_keras_model()`) and used with Tensorflow
    Serving.
*   Keras models now support evaluating with a `tf.data.Dataset`.
*   TensorFlow binaries are built with XLA support linked in by default.
*   Ignite Dataset added to contrib/ignite that allows to work with Apache
    Ignite.

## Bug Fixes and Other Changes

*   tf.data:

rounded with a modifier to replace v3's badges.\n\n.badge-pill {\n  padding-right: $badge-pill-padding-x;\n  padding-left: $badge-pill-padding-x;\n  @include border-radius($badge-pill-border-radius);\n}\n\n// Colors\n//\n// Contextual variations (linked badges get darker on :hover).\n\n@each $color, $value in $theme-colors {\n  .badge-#{$color} {\n    @include badge-variant($value);\n  }\n}\n","@mixin badge-variant($bg) {\n  color: color-yiq($bg);\n  background-color: $bg;\n\n  @at-root a#{&} {\n...

// Applied Cryptography, Algorithm 14.61, adapted by BoringSSL to bound // coefficients and avoid negative numbers. For more details and proof of // correctness, see https://github.com/mit-plv/fiat-crypto/pull/333/files. // // Following the proof linked in the PR above, the changes are: // // 1. Negate [B] and [C] so they are positive. The invariant now involves a // subtraction. // 2. If step 2 (both [x] and [y] are even) runs, abort immediately. This // case needs to be handled by the caller. //...