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l.cristian
Apr 4, 20220 min read



l.cristian
Mar 28, 20220 min read



l.cristian
Mar 21, 20220 min read



l.cristian
Mar 14, 20220 min read



l.cristian
Mar 9, 20220 min read


Connecting Colab to a local machine
Google Colab is a great offering (at least at the moment is) because it is free and allows you seamless access to both GPU instances and...

l.cristian
Feb 28, 20223 min read
Running a local bash function on a remote machine
#productivity #engineering Whenever you want to deal with cloud offerings (like #aws et. al.) you interact with the machines through an...

l.cristian
Feb 21, 20222 min read


Switch GPU to CPU using the aws-cli
It is a well known fact that machine learning (and #deep-learning in particular) needs lots of compute power. If conditions are right...

l.cristian
Feb 14, 20222 min read


Visualising grid search results
When doing a hyperparameter optimisation using #gridsearch (or other tasks which involve an exhaustive evaluation of the search space)...

l.cristian
Feb 7, 20222 min read


Where to look to beautiful and inspiring visualisations
Displaying data requires creativity and practice at the same time otherwise you're bound to use only the techniques you already know. A...

l.cristian
Jan 31, 20221 min read


A timer context manager in python
When writing code you may want to quickly do performance analysis on your algorithms. The most likely tool that you need is obviously a...

l.cristian
Jan 26, 20221 min read


Automate Revolut trading tax calculation with Pandas
Last year I discovered how easy it can be to trade with the Revolut app. I was playing for a couple of months, in the beginning, I did...
Gheorghe Rusu (kederrac)
Mar 24, 20217 min read


Uniswap price notification with python
In the crypto world, this week Superfarm has launched his ICO(initial coin offering) on Polkastarter. As usual, after their ICO they...
Gheorghe Rusu (kederrac)
Feb 27, 20214 min read


Few shot learning with Triplet Loss
This video is a sample of the materials covered in our Deep Learning (II) module. In it you can see an established technique for solving...
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Jan 14, 20211 min read


Stochastic Gradient Descent update and the intuition behind it
Training a neural network involves some form of optimisation (minimisation) of an objective function. The root strategy from which all...
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Dec 1, 20201 min read


Training an RNN with teacher forcing
Teacher forcing is a (really simple) way of #training an #rnn (a recurrent neural network) . RNNs have a variable length input and this...
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Nov 28, 20201 min read


Converting a DecisionTree into python code
It is sometimes useful to be able to convert a decision tree into an actual useful code snippet. This notebook shows how you’d go around...
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Nov 24, 20201 min read


Distilling a Random Forest to a single DecisionTree
On HackerNews there was a topic discussed at some point about ways to distill knowledge from a complex (almost black box) large tree...

l.cristian
Nov 22, 20201 min read


Detecting faces with RetinaFace
Detecting faces in a still image is an important step that has various applications. As of now, a top of the SoTA on face detection seems...

l.cristian
Nov 10, 20201 min read


Fastest way to convert an iterator to a list
The fastest way to convert an iterator to a list
Gheorghe Rusu (kederrac)
Oct 24, 20203 min read
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