TV Show Ratings Before and After COVID-19
Teen Titans Go! The first few years of the show seemed to have produced a lot more below average episodes. The rating seem to have improved in 2020 onwards. We see a lot less bubbles below 5.
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☁️ My Cloud Stack for Personal Projects
In this post, I share the details about the infrastructure I use to run the following websites:
https://www.katnoria.com: The primary website where I post long form articles https://kb.katnoria.com: Mostly contains short posts with code snippets Sprinkle AI: Old domain where I host some fun apps https://faces.
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Exploration Log of Contrastive Language-Image Pre-training
Introduction Last month OpenAI released CLIP - a neural network that learns to map text and images into the same embedding space using contrastive objective and multi-class N-pair loss.
TL;DR The key ingredients of the architecture are:
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🐍 Supporting the Python Ecosystem
TLDR; If you use Python, please consider supporting the Python Ecosystem by donating to the Python Software Foundation.
Click Here to visit PSF Donation Page
Donation for the PSF From their website, this is what the funds are used for:
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📈 How the S&P 500 Performed During Major Market Crashes
Visual Capitalist posted a plot that covers S&P 500 performance during major crashes. In this post, we will attempt to replicate some or most parts of the plot.
Source: https://www.visualcapitalist.com/sp-500-market-crashes/
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👀 The Worst Passwords of 2020
The most common, or shall we say the worst password anyone could use, is 123456.
Seriously?
Why use a password at all 🤨. It takes less than a second to crack it, and there are approx 2,543,285 people who use it, according to NordPass.
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📷 Photo: Marina Bay Skyline - Singapore
Higher Resolution version on 500PX
Shot on iPhone 11 Pro
🤔 Opinion: Should I Implant Apple Silicon in my Stack?
You too want to buy the 1st Generation Apple Silicon? Not sure whether to wait or take a plunge? Worry not 🧘🏽♂️.
Do a 1 min Breathe on your 🍎 ⌚️ Series 6 and read on.
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📙 CIFAR-10 Classifiers: Part 7 - Speed up PyTorch hyperparameter search using Ray Tune
CIFAR10 Classifier: PyTorch + Ray Tune Edition Objective Explore Ray Tune and in the process attempt to to find a better set of hyperparameters that can beat the best test acurracy:
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📙 CIFAR-10 Classifiers: Part 6 - Speed up TensorFlow hyperparameter search using Optuna
CIFAR10 Classfier: TensorFlow + Optuna Edition Our objective is similar to the Keras-Tuner and Ray Tune notebooks:
Explore Optuna optimization library for hyperparam tuning Find out if we can beat the test accuracy of a hand tuned model 69.
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