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GitHub - tensorflow/model-analysis: Model analysis tools for TensorFlow
The recommended way to install TFMA is using the PyPI package: pip install tensorflow-model-analysis pip install from https://pypi-nightly.tensorflow.org pip install -i https://pypi-nightly.tensorflow.org/simple tensorflow-model-analysis pip install from the HEAD of the git: pip install git+https://github.com/tensorflow/model-analysis.git#egg=tensorflow_model_analysis pip install from a released v
GitHub - tensorflow/transform: Input pipeline framework
TensorFlow Transform is a library for preprocessing data with TensorFlow. tf.Transform is useful for data that requires a full-pass, such as: Normalize an input value by mean and standard deviation. Convert strings to integers by generating a vocabulary over all input values. Convert floats to integers by assigning them to buckets based on the observed data distribution. TensorFlow has built-in su
Release TensorFlow 1.7.0 · tensorflow/tensorflow
Release 1.7.0 Major Features And Improvements Eager mode is moving out of contrib, try tf.enable_eager_execution(). Graph rewrites emulating fixed-point quantization compatible with TensorFlow Lite, supported by new tf.contrib.quantize package. Easily customize gradient computation with tf.custom_gradient. TensorBoard Debugger Plugin, the graphical user interface (GUI) of TensorFlow Debugger (tfdb
tensorflow/tensorflow/tools/graph_transforms/README.md at master · tensorflow/tensorflow
When you have finished training a model and want to deploy it in production, you'll often want to modify it to better run in its final environment. For example if you're targeting a phone you might want to shrink the file size by quantizing the weights, or optimize away batch normalization or other training-only features. The Graph Transform framework offers a suite of tools for modifying computat
models/research/deeplab at master · tensorflow/models
To new and existing DeepLab users: We have released a unified codebase for dense pixel labeling tasks in TensorFlow2 at https://github.com/google-research/deeplab2. Please consider switching to the newer codebase for better support. DeepLab is a state-of-art deep learning model for semantic image segmentation, where the goal is to assign semantic labels (e.g., person, dog, cat and so on) to every
TODAY - Google Stops Supporting Physical Web on iOS Chrome - and soon on Android... · Issue #931 · google/physical-web
Hello, BIG DISAPPOINTING NEWS - I just learned today that Google is no longer supporting Physical Web on iOS Chrome. Today had two customers upload newest iOS Chrome on their iPhone and Physical Web is gone. I checked and learned that according to Google Team - Yes Physical Web on iOS Chrome has been removed and that "Physical Web will soon be no longer supported on Android Chrome.... Only on Andr
workshops/README.md at master · tensorflow/workshops · GitHub
TensorFlow workshops A few exercises for use at events. How-to run these notebooks Click on the links below to open these notebooks in Colaboratory, a hosted Jupyter notebook environment that's free to use and requires no setup. MNIST IMDB Housing prices Overfitting vs underfitting Text generation Translation Would you like to contribute, or report a bug? Thanks! Can you please file an issue, or e
GitHub - google/schism: A self-hosting Scheme to WebAssembly compiler
Schism is an experimental compiler from Scheme to WebAssembly. It enables developers to run programs written in Scheme in the browser or server environments such as NodeJS. The compiler supports a subset of the R6RS version Scheme, and is self-hosting, meaning Schism is implemented in Schism itself. This is not an officially supported Google product. Development so far has focused on features nece
Releases · tensorflow/tensorflow
Release 2.18.0 TensorFlow Breaking Changes tf.lite C API: An optional, fourth parameter was added TfLiteOperatorCreate as a step forward towards a cleaner API for TfLiteOperator. Function TfLiteOperatorCreate was added recently, in TensorFlow Lite version 2.17.0, released on 7/11/2024, and we do not expect there will be much code using this function yet. Any code breakages can be easily resolved b
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mozc-devices/mozc-nazoru at master · google/mozc-devices
GitHub - tensorflow/tfjs-examples: Examples built with TensorFlow.js
GitHub - tensorflow/tfjs: A WebGL accelerated JavaScript library for training and deploying ML models.
tensorflow/Makefile at master · tensorflow/tensorflow · GitHub
GitHub - google/flutter-desktop-embedding: Experimental plugins for Flutter for Desktop
GitHub - google/knusperli: A deblocking JPEG decoder
GitHub - google/node-sec-roadmap: Some thoughts on how Node.js might respond to a changing security environment
GitHub - tensorflow/lucid: A collection of infrastructure and tools for research in neural network interpretability.
models/research/astronet at master · tensorflow/models · GitHub
Release TensorFlow 1.6.0 · tensorflow/tensorflow