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#react_native #vs #Xamarin #vs #Flutter #vs #Kotlin #touchlab #team

133 viewsedited 18:09

#react_native #vs #Xamarin #vs #Flutter #vs #Kotlin #touchlab #team
https://www.youtube.com/watch?v=6RquJJM1jaE

Mobile Cross-Platform Development: Picking the Right Solution (Kotlin, React Native, Flutter)

Touchlab Dir. Project Strategy Justin Mancinelli presents a framework that both engineering managers and software developers can use to evaluate how well a multiplatform solution delivers on their unique needs.

#TouchlabShare is a series of mini webinars…

147 viewsedited 18:10

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An illustration of the proposed SimCLR framework. The CNN and MLP layers are trained simultaneously to yield projections that are similar for augmented versions of the same image, while being dissimilar for different images, even if those images are of the same class of object. The trained model not only does well at identifying different transformations of the same image, but also learns representations of similar concepts (e.g., chairs vs. dogs), which later can be associated with labels through fine-tuning.
#ML #DL #CNN #pytorch #framework

177 viewsedited 14:29

#pytorch #flack #onnx #python #webservice
https://www.youtube.com/watch?v=7nutT3Aacyw

How to convert almost any PyTorch model to ONNX and serve it using flask

In this video, I show you how you can convert any #PyTorch model to #ONNX format and serve it using flask api.
I will be converting the #BERT sentiment model that we built in previous videos.

Training Sentiment Model Using BERT and Serving it with Flask…

230 views17:07

#numpy #pytorch #basic_ops #table
https://github.com/wkentaro/pytorch-for-numpy-users

GitHub - wkentaro/pytorch-for-numpy-users: PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com

PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com - wkentaro/pytorch-for-numpy-users

237 views17:33

#ai #map #radar
https://radar.thoughtworks.com/?sheetId=https%3A%2F%2Fdocs.google.com%2Fspreadsheets%2Fd%2F16YfGDDPciZYyD9cNE6cnp-M2PyMRWubIPLecqTxmBkQ%2Fedit%23gid%3D0

188 views17:18

#software_engineering #se #ml #dl #business #agile #classification #paper
https://arxiv.org/ftp/arxiv/papers/1805/1805.04825.pdf

152 views10:17

#Deploying #EfficientNet #TorchServe #pytorch #aws #torchscript
https://medium.com/the-artificial-impostor/deploying-efficientnet-model-using-torchserve-9f5f811aa447

Deploying EfficientNet Model using TorchServe

181 views10:18

#disney #team #saga_patter #patter #akka #scala
https://www.youtube.com/watch?v=onv6xdyZ49s

Matt Roberts - Implementing the Saga Pattern with Akka

Implementing the Saga Pattern with Akka

I will demonstrate how to implement the saga pattern with akka-cluster, akka-cluster-sharding and akka-persistence. The saga pattern lets you implement business requirements that would normally be implemented with…

186 views20:46

#y_combinator #team #mvp
https://www.youtube.com/watch?v=1hHMwLxN6EM

Michael Seibel - How to Plan an MVP

YC CEO and Partner Michael Seibel shares his approach to building an MVP and getting your first users as a pre-launch startup. Startup School is YC's free online program for founders.

Transcript and lecture slides here: https://www.ycombinator.com/library/6f…

194 views13:54

#deploy #pytorch #team #ml #TorchServe
https://www.youtube.com/watch?v=jdE4hPf9juk

Deploying your ML Model with TorchServe

Learn more: https://pytorch.org/serve/

Deploying and managing models in production is often the most difficult part of the machine learning process. TorchServe is a flexible and easy to use tool for serving PyTorch models. In this talk, Brad Heintz walks…

166 viewsedited 10:17

#data_pipeline #fp #pure #scala
https://www.youtube.com/watch?v=PDBVCVv4mVc

Vitalii Honta - Project Trembita - Functional Data Pipelining. ScalaUA2018

Vitalii Honta - Project Trembita - Functional Data Pipelining (Lightning Talk) ScalaUA2018

Project Trembita is a library in active development. Modules and functions are designed due to experience of our company and our needs. There are a lot of boilerplate…

152 views11:31

#sre #history #gcp #google #team
https://www.youtube.com/watch?v=1NF6N2RwVoc

The History of SRE

Since 2004, Site Reliability Engineering (SRE) has evolved to become the industry-leading practice for service reliability. In this video, hear from key figures about the history of SRE and what’s next for the SRE community.

Learn more → https://goo.gle/2BTl4VZ…

176 views11:32

#kubeflow #gpu #tpu #google #team #gcp
https://www.youtube.com/watch?v=Q6W5nwBMhy4

196 views17:10

#mvp #metrics #y_combinator #team
https://www.youtube.com/watch?v=LLerCc7MOQo

Ilya Volodarsky - Analytics for Startups

Ilya Volodarsky, co-founder of Segment, presents his tactics for setting up analytics to build your MVP and measure your metrics.

You can find the lecture slides and transcript here: https://www.startupschool.org/videos/84

It's not too late to sign up!…

242 views18:06

#alphaZero #team #deepMind #paper #dl #ml #MCTS
http://augmentingcognition.com/assets/Silver2017a.pdf

170 views13:04

#seo #alexa #amazon #alexa_ranking
https://www.quora.com/How-much-website-traffic-does-a-site-need-to-break-into-Alexas-top-100-000

How much website traffic does a site need to break into Alexa's top 100,000? - Quora

The Alexa tool is a crap metric. If you want to get into the top 100k, all you need to do is get as many web browsers open as you can with the Alexa toolbar installed and have it refresh at random times (anywhere from 5 -30 seconds) and in a few w...

151 views15:12

#kubeflow #ml #workflow #optimization #mlops
https://www.youtube.com/watch?v=jXRbj5xnBy4

#8 Optimizing Your ML Workflow with Kubeflow 1.0

Linkedin, Spotify, Volvo, JP Morgan, and many other market leaders are leveraging Kubeflow to simplify the creation and the efficient deployment of Machine L...

207 views15:12

#umap #vs #tsne #pca #dimensionality_reduction #data_visualization
https://medium.com/@dan.allison/dimensionality-reduction-with-umap-b081837354dd

Dimensionality Reduction with UMAP

UMAP is like t-SNE, but faster and more general-purpose.

198 viewsedited 12:44

#torchserve #pytorch #deployment #aws
https://www.youtube.com/watch?v=mYV8nk29m8o&ab_channel=AWSOnlineTechTalks

Easily Deploy PyTorch models in Production on AWS with TorchServe - AWS Online Tech Talks

Deploying and managing models in production is often the most difficult part of the machine learning process. Enter model servers, which make it easy to load models and which offer production-critical features like logging, monitoring, and security. In this…

234 views00:23