Thursday, April 02, 2020

[Links of the Day] 02/04/2020 : Grep all, HealthCare mobile data collection for machine learning, FastAI framework

  • ripgrep : grep search in PDFs, E-Books, Office documents, zip, tar.gz, etc.
  • pymedserver : a server framework for mobile data collection and machine learning in healthcare
  • fastai : fantastic machine learning library trying to abstract away a lot of PyTorch into simple API and building blocks. Sometimes it attracts a bit too much, especially with you want to get murky with some details. But all in all, fastAI is really a framework you want to look at if you are doing machine learning.

Tuesday, March 31, 2020

[Links of the Day] 31/03/2020 : Quantum Computing course, Risk quantifying library, Google time windowed availability metric

  • Meaningful Availability : google folks propose a different interpretation of availability in this paper. The authors propose a new metric called "windowed user-uptime".  The objective of this metric is to measure user perceived uptime combined with calculating the availability over many windows in order to identify transient vs long periods unavailability. 
  • riskquant :  Netflix Python library for quantifying risk 
  • Quantum Computation Course : approachable quantum computation course. 

Thursday, March 26, 2020

[Links of the Day] 26/03/2020 : Golang distributed in memory key value store, Datasciences github repo trove, Developer Road-maps

  • olric : Distributed cache and in-memory key/value data store. This can be embedded as a go library.
  • Pilsung Kang : a lot of really cool git repository for machine learning and datascience lecture , notes, code etc.. by Pilsing Kang of the School of Industrial Management Engineering Korea University.
  • Developer Roadmaps : Step by step guides and paths to learn different tools or technologies, checkout the devops one .. you probably need two lifetime to cover everything.

Tuesday, March 24, 2020

[Links of the Day] 24/03/2020 : Machine learning visualisation, debugging and project template

  • hiplot : Facebook lightweight interactive visualization toolkit, quite useful for discovering correlations and patterns in high dimensional data.
  • manifold : Machine learning Visual debugging tooling bu Uber [github]
  • cookie cutter Data Science : love cookie-cutter, and this is a great one for Machine learning projects

Thursday, March 19, 2020

[Links of the Day] 19/03/2020 : Directed Acyclic Graph structure estimation, Groovy Linter, AI hierarchy of needs

  • DAGs with NO TEARS : NIPS 2018 paper that demonstrate a novel way to Estimate the structure of directed acyclic graphs. Bonus point for code in github ! [arxiv]
  • groovyfmt: I wish I knew about this one a long time ago. All those Jenkins File errors and debugging session I could have avoided. Well, let's add it to my default list of linter to run with every job.
  • AI hierarchy of needs : neet representation of what is needed to deliver an AI project and how much effort and information is required as you progress throughout the hierarchy.

Tuesday, March 17, 2020

[Links of the Day] 17/03/2020 : Machine Learning research Guide, Engineering Strategy, Contrastive Self Supervised Learning Techniques

Thursday, March 12, 2020

[Links of the Day] 12/03/2020 : Neuromodulation in Deep Neural Networks, AWS landingzones as code, 100 days of Machine learning

  • Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours : the authors of this papers propose to leverage cellular neuromodulation, the biological mechanism that dynamically controls intrinsic properties of neurons and their response to external stimuli in a context-dependent manner. In order to build a construct a new deep neural network architecture that is specifically designed to learn adaptive behaviours. They demonstrate that their solution is able to adapt to change in the environment as well as providing more flexibility during the lifespan of their model.
  • AwsOrganizationFormation : Alternative to AWS Landingzones. The advantage of this solution is that you can manage your organisation as code. This will help in the long run will simplify your life when it comes to updating and maintaining those resources.
  • 100 Days of ML : this repository captures the journey of Hithesh to learn machine learning in 100 days.