https://github.com/tensorflow/tensorflow/blob/v0.6.0/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py
Creating a specific 3.6 binary for Linux · Issue #14182 · tensorflow/tensorflow
System information Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 14.04 TensorFlow installed from (source or binary): Source TensorFlow version (use command below): Python version: Python3.6 Bazel version (if compiling from source): GCC/Compiler version (if compiling from sourc
GitHub - google/wuffs: Wrangling Untrusted File Formats Safely
Wuffs' goal is to produce software libraries that are as safe as Go or Rust, roughly speaking, but as fast as C, and that can be used anywhere C libraries are used. This includes very large C/C++ projects, such as popular web browsers and operating systems (using that term to include desktop and mobile user interfaces, not just the kernel). Wuffs the Library is available as transpiled C code. Othe
tensorflow/tensorflow/contrib/lite at master · tensorflow/tensorflow · GitHub
This change moves //tensorflow/contrib/lite to //tensorflow/lite in preparation for TensorFlow 2.0's deprecation of contrib/. If you refer to TF Lite build targets or headers, you will need to update them manually. If you use TF Lite from the TensorFlow python package, "tf.contrib.lite" now points to "tf.lite". Please update your imports as soon as possible. For more details, see https://groups.go
Mac + Python 3.6.1: Attempting to download mnist data results in CERTIFICATE_VERIFY_FAILED error · Issue #10779 · tensorflow/tensorflow
$ python3 --version Python 3.6.1 $ python3 -m virtualenv venv Using base prefix '/Library/Frameworks/Python.framework/Versions/3.6' New python executable in .../venv/bin/python3 Also creating executable in .../venv/bin/python Installing setuptools, pip, wheel...done. $ source venv/bin/activate $ pip install tensorflow Collecting tensorflow Using cached tensorflow-1.2.0-cp36-cp36m-macosx_10_11_x86_
models/detection_model_zoo.md at master · tensorflow/models · GitHub
Tensorflow detection model zoo We provide a collection of detection models pre-trained on the COCO dataset, the Kitti dataset, the Open Images dataset, the AVA v2.1 dataset and the iNaturalist Species Detection Dataset. These models can be useful for out-of-the-box inference if you are interested in categories already in those datasets. They are also useful for initializing your models when traini
Operations used for inference are dropped by optimize_for_inference · Issue #8242 · tensorflow/tensorflow
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Error importing tensorflow on windows 10 ( Tensorflow 0.12.0 RC0, python3.5 ) · Issue #5949 · tensorflow/tensorflow
Was excited to try out 0.12.0 RC0 for windows Followed Tensorflow 0.12.0 RC0 Installation guide for Windows, on Windows 10. Ran into following error. Python 3.5.2 (v3.5.2:4def2a2901a5, Jun 25 2016, 22:18:55) [MSC v.1900 64 bit (AMD64)] on win32 Type "copyright", "credits" or "license()" for more information. import tensorflow Traceback (most recent call last): File "C:\Users\hp\AppData\Local\Progr
GitHub - google/gnostic: A compiler for APIs described by the OpenAPI Specification with plugins for code generation and other API support tasks.
This repository contains a Go command line tool which converts JSON and YAML OpenAPI descriptions to and from equivalent Protocol Buffer representations. Protocol Buffers provide a language-neutral, platform-neutral, extensible mechanism for serializing structured data. gnostic's Protocol Buffer models for the OpenAPI Specification can be used to generate code that includes data structures with ex
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google/cadvisor: Analyzes resource usage and performance characteristics of running containers.
GitHub - google/sling: SLING - A natural language frame semantics parser
ijaas/README.md at master · draftcode/ijaas
GitHub - draftcode/ijaas: Make IntelliJ as a Java server that does autocompletion for Vim.
GitHub - google/gts: ☂️ TypeScript style guide, formatter, and linter.
GitHub - google/tangent: Source-to-Source Debuggable Derivatives in Pure Python
https://github.com/tensorflow/ecosystem/tree/master/spark/spark-tensorflow-connector
https://github.com/tensorflow/models/tree/master/research/object_detection
gnostic/README.md at main · google/gnostic
GitHub - sararob/ml-talk-demos: Code for the demos from my Google Next '17 talk: https://youtu.be/w1xNTLH1zlA and I/O '17 talk: https://www.youtube.com/watch?v=ETeeSYMGZn0
https://github.com/google/bottery/blob/master/README.md
