@strife076

@Twitter cortex, #TensorFlow, machine learning, deep learning, natural language processing, language modeling, recurrent neural networks, #GAN

 Toronto, Canada
github.com/nicholas-leonard
Joined May 2011
  • Tweets144
  • Following454
  • Followers1.1K
3Media
As a software engineer, I feel like I spend too much time managing my Chrome tabs. Too many of them are Google Docs and JIRA tabs documenting ongoing work which I am scared to delete/forget. To liberate tabs, I copy paste URLs to a separate doc. Is there a better way to do this?
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Nicholas Leonard retweeted
Zehan Wang@ZehanWang23 Jan 2019
My team is interested in taking on a couple more interns in London this year if any research students studying a machine learning / related field wants to get in touch?
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Nicholas Leonard retweeted
Satanjeev Banerjee@satanjeev17 Apr 2019
Good fun presenting at O’Reilly AI in NY with @cibelemh!
Joab Jackson
@Joab_Jackson17 Apr 2019
How much your network likes a Tweet is a strong indicator for how much you will like a Tweet. User engagement is a good proxy for user interest — @satanjeev and @cibelemh explaining how @Twitter uses #ML #AI to order your timeline @ #TheAIConf @TheAIConf
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Watched a movie on Netflix (SAO: Ordinal Scale) where the villain steals SAO player memories to build a dataset about his deceased daughter. His plan was to use the dataset to train an AI to simulate his daughter using "deep learning". He fails due to lack of data. #overfitting
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Ayşe Naz Erkan
@naz_erkan5 Dec 2018
Here is to the team that has the most outsized societal ML impact imaginable #underdogs #smallButMighty 💪🏻 – at Montréal, Québec
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#TwitterCortex summit is now over. Was nice catching up with folks from all our locations!
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Hey have you noticed that #TwitterCortex has a new website? Check it out! 👇🏽👇🏽👇🏽 cortex.twitter.com Oh yeah we have our logo showing up with #TwitterCortex now (thanks @shivam13verma for the idea) 😎
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Nicholas Leonard retweeted
Clement Farabet
@clmt27 Sep 2018
If you’re excited to work on scaling of AI training, deployment, automation, and doing that on PB-scale multi-sensor datasets, please reach out/DM me. Lots of openings from DevOps all the way to DL/ML research.
NVIDIA DRIVE
@NVIDIADRIVE27 Sep 2018
WATCH: NVIDIA VP of AI Infrastructure Clement Farabet outlines MagLev, our internal infrastructure for training and testing AI for self-driving cars. #atscale18 nvda.ws/2N7E2aK Learn more about MagLev here: nvda.ws/2N0y5fX
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KDnuggets
@kdnuggets12 Aug 2018
Gradient Boosting in TensorFlow vs XGBoost #KDN ow.ly/6Dfv30l6PPa

Gradient Boosting in TensorFlow vs XGBoost - KDnuggets

For many Kaggle-style data mining problems, XGBoost has been the go-to solution since its release in 2016. It's probably as close to an out-of-the-box machine learning algorithm as you can get today.

kdnuggets.com
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Amazing work from #TwitterCortex team describing the road to automating ML with Airflow at Twitter, leading to big gains in effectiveness and metrics. By @unclesam and @devingoodsell: blog.twitter.com/engineering… PS: we’re hiring

Productionizing ML with Workflows at Twitter

Cortex automates machine learning pipelines at Twitter with Airflow.

blog.x.com
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Nicholas Leonard retweeted
Alykhan Tejani@alykhantejani20 Jun 2018
I'm happy to announce the first release of ignite - a high level library for @pytorch helping you write compact but full-featured training loops in a few lines of code! Check it out at pytorch.org/ignite/

Ignite Your Networks! — PyTorch-Ignite v0.5.5 Documentation

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

docs.pytorch.org
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So proud of the team #TwitterCortex !! Great blog post by @cibelemh and @strife076 about Twitter moving its production deep learning platform onto TensorFlow, along with the challenges and adaptations associated to it: blog.twitter.com/engineering… PS: we're hiring!

Twitter ML Platform

Twitter Cortex migrates deep learning framework from Lua Torch to TensorFlow.

blog.x.com
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Like @jack, we think we can do much more. Come help us build a kickass AI platform at #TwitterCortex xitter.cf/jack/status/9616304718…
jack
@jack8 Feb 2018
I’m so proud of the @Twitter team. We did what we said we were going to do. Our focus and self-discipline continues to improve. Thank you team! And thanks to all of our shareholders for the patience and support. 2018 is going to be a great year.
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#TwitterCortex's 2018 PhD summer internships (NYC+SF): we are looking for ML PhDs from all over the world. who dream of (finally) using insane amounts of data and are passionate about @Twitter. Please send your resume to [email protected] [until 03/01/2018]
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Nicholas Leonard retweeted
torch@TorchML10 Oct 2017
Torch just released a recurrent neural networks library. The package is fast, flexible and supports CUDA. github.com/torch/rnn

GitHub - torch/rnn: Torch recurrent neural networks

Torch recurrent neural networks. Contribute to torch/rnn development by creating an account on GitHub.

github.com
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Nicholas Leonard retweeted
Laurent Dinh@laurent_dinh1 Aug 2017
Researcher Shuts Down Experiments After Simple Baseline Beats The Proposed Algorithm.
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Amartya Sanyal@AmartyaSanyal11 Jul 2017
My first PRs accepted into torch/torch7(goo.gl/LinmK2) and torch/cutorch(goo.gl/DuJHru). Thanks @strife076 @pavan_ky

Implementation of Alias Multinomial for faster Multinomial sampling (… · torch/torch7@e17f93a

…#1046)

github.com
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Nicholas Leonard retweeted
Gabriel Synnaeve
@syhw3 Jun 2017
TorchCraft v1.3-0 is here github.com/TorchCraft/TorchC… C++, Python, Lua clients, for StarCraft control and state serialization. Thanks team!

Release v1.3-0 · TorchCraft/TorchCraft

Major release This a major release of TorchCraft. Major Changes Adds text drawing commands (#94) Adds status flags for units (#95, #96, #98) Separates map into a walkability map, buildability map,...

github.com
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Nicholas Leonard retweeted
torch@TorchML10 May 2017
Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model github.com/richardassar/Samp…

GitHub - richardassar/SampleRNN_torch: Torch implementation of SampleRNN: An Unconditional End-to...

Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model - richardassar/SampleRNN_torch

github.com
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Nicholas Leonard retweeted
torch@TorchML24 Apr 2017
Implementation of Wasserstein GAN in Torch github.com/fonfonx/Wasserste…

GitHub - fonfonx/WassersteinGAN.torch: Torch implementation of Wasserstein GAN https://arxiv.org/...

Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875 - fonfonx/WassersteinGAN.torch

github.com
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