AEAeolos·Dec 31, 2016
Tensorflow has a GPU-accelerated Random Forest implementation: https://github.com/tensorflow/tensorflow/blob/v0.10.0rc0/ten...
In BigDL: Distributed Deep Learning on Apache Sparktensorflow
tensorflow
C++2015–2025
tensorflow / tensorflow
tensorflow
An Open Source Machine Learning Framework for Everyone
220Distinct people
304Mentions
2Explicit recommenders
201.6KGitHub stars
What to know before exploring
What it is
An Open Source Machine Learning Framework for Everyone
GitHub
Where it is used
- Twitter Home Timeline — Twitter Home Timeline uses TensorFlow to serve all production traffic for its ranking system using a split-network architecture. Source
- Airbnb — Airbnb uses TensorFlow to classify images and detect objects at scale to improve the guest experience. This describes a concrete ML application in Airbnb’s product. Source
What people are saying
My friend, you've come to the right place. I happen to be a 33yo fellow dinosaur. If you thought I was some ML guru, know that I spent the last few months watching an 18yo and…
sillysaurusx used a recommendation phrase. 2 indexed comments match. This is a phrase match, not a verdict.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
- pytorch/pytorch · linked in 5 of the same discussions
- benoitsteiner/tensorflow-opencl · linked in 2 of the same discussions
- llvm/llvm-project · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 6:01:08 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year304 dated mentions
Observed mentions: 2015-11-09 14:23:42 UTC to 2025-11-25 02:58:19 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2015 | 2015-01-01 00:00:00 UTC | 2016-01-01 00:00:00 UTC | 12 | 2 | 10 |
| 2016 | 2016-01-01 00:00:00 UTC | 2017-01-01 00:00:00 UTC | 61 | 16 | 45 |
| 2017 | 2017-01-01 00:00:00 UTC | 2018-01-01 00:00:00 UTC | 83 | 22 | 61 |
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 51 | 17 | 34 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 27 | 13 | 14 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 20 | 6 | 14 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 22 | 6 | 16 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 11 | 1 | 10 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 10 | 1 | 9 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 4 | 3 | 1 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 3 | 1 | 2 |
What Hacker News says
61 sourcesThere seems to be considerable effort being undertaken to allow TensorFlow to work with OpenCL [0]. Also see [1]. This coincides nicely with the introduction of these AMD cards.
I'm looking forward to the day that Nvidia gets some competition in the GPUs-for-deeplearning market. Further, doing some smaller Deep learning experiments on my MacBook Pro with AMD discrete GPU is another benefit I'm looking forward to ;)
[0] https://github.com/tensorflow/tensorflow/issues/22
[1] https://github.com/benoitsteiner/tensorflow-opencl
In Radeon Instinct – Optimized Machine and Deep LearningFYI, AMD's people are helping TF to add OpenCL support.
https://github.com/tensorflow/tensorflow/issues/22
In Radeon Instinct – Optimized Machine and Deep LearningYou can do something simple like this:
https://github.com/tensorflow/tensorflow/blob/master/tensorf...
And a simple implementation:
https://github.com/tensorflow/tensorflow/blob/master/tensorf...
In An Introduction to Polymer - A Web Component LibraryI couldn't find one, but from what I gather from the docs[1] you can give it basically any tsv file of high dimensional data.
You can have a dig around in the repo here[2].
[1]https://www.tensorflow.org/versions/master/how_tos/embedding...
[2]https://github.com/tensorflow/tensorflow/tree/master/tensorf...
In Open sourcing Embedding Projector: a tool for visualizing high dimensional dataI think that represents a fundamental misunderstanding of Google's incentives. (disclaimer: I'm typing this from Google, but it's purely my own opinion.) (And wishing my experiment would finish running faster.)
Google's biggest revenue stream is ads. It has many others, but that's the big one. Ads are seen by people who use Google search, and who browse many ad-supported websites. Google also has a lot of users of its services, e.g., gmail, who have accounts. Some also entrust valuable data to Google.
Google therefore has a great deal of incentive to make sure that: (a) Nobody messes with the ability of general users to browse the Internet safely (preserving ad revenue); and (b) It's very hard to compromise users computers and gain access to their Google/gmail/whatever accounts (reducing support costs and keeping users happy), o
Read the rest
r destroy their data, or exfiltrate it. Even if the compromise was the user's computer, it's still a very bad experience.
Project zero is a pretty good example of this incentive structure in action. (such as fuzzing for windows font bugs: https://googleprojectzero.blogspot.com/2016/07/a-year-of-win... ).
With fuzzing itself, as DannyBee alluded to below, one of the leads of a lot of this infrastructure, Kostya Serebryany, is also personally passionate about seeing it be taken up to make the software of the world better. I've seen this in action - he convinced me to use libFuzzer to improve TensorFlow's robustness, and mentioned that he was doing so in part so I'd take that experience back to Carnegie Mellon and spread the word. :) (and it worked - https://github.com/tensorflow/tensorflow/commit/7231d01fcb2c... for example).
From the changelog:
https://github.com/tensorflow/tensorflow/releases
> TensorFlow now builds and runs on Microsoft Windows (tested on Windows 10, Windows 7, and Windows Server 2016). Supported languages include Python (via a pip package) and C++. CUDA 8.0 and cuDNN 5.1 are supported for GPU acceleration. Known limitations include: It is not currently possible to load a custom op library. The GCS and HDFS file systems are not currently supported. The following ops are not currently implemented: DepthwiseConv2dNative, DepthwiseConv2dNativeBackpropFilter, DepthwiseConv2dNativeBackpropInput, Dequantize, Digamma, Erf, Erfc, Igamma, Igammac, Lgamma, Polygamma, QuantizeAndDequantize, QuantizedAvgPool, QuantizedBatchNomWithGlobalNormalization, QuantizedBiasAdd, QuantizedConcat, QuantizedConv2D, QuantizedMatmul, QuantizedMaxPool, QuantizeDownAndS
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hrinkRange, QuantizedRelu, QuantizedRelu6, QuantizedReshape, QuantizeV2, RequantizationRange, and Requantize.
TensorFlow v0.12.0 Release Candidate
3 points · Open discussionTensorflow for windows with Cuda support
2 points · Open discussionTensorFlow Windows GPU Support
1 points · Open discussionLikewise their example implementation of it: https://github.com/tensorflow/tensorflow/blob/master/tensorf...
In Coding like Shakespeare: practical function naming conventionsHere's a link for reference https://github.com/tensorflow/tensorflow/blob/master/tensorf....
It is very nice to read.
In Coding like Shakespeare: practical function naming conventionsTensorflow 0.11rc1 Supports Cuda 8.0 Officially
As you can see here TensorFlow now supports Cuda 8.0
https://github.com/tensorflow/tensorflow/releases
I also have this tutorial on how to install it from sources.
http://wp.me/p7GvOc-2H
7 points · Open discussionTensorFlow Alpha Windows Support
3 points · Open discussionA few months ago.
https://github.com/tensorflow/tensorflow/tree/master/tensorf...
https://github.com/tensorflow/tensorflow/tree/master/tensorf...
In How to build a robot that “sees” with $100 and TensorFlowShowing the 15 most recent of 61 sources. Enable JavaScript to search and browse every indexed mention.