My Blog

Thoughts, tutorials and technical writings

Creating Custom FastHTML Tags for Markdown Rendering

Step by step tutorial to rendering markdown in FastHTML using zero-md

Isaac Flath2024-07-19
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MeanShift From Scratch

A deep dive on meanshift clustering with the full algorithm implemented from scratch using pytorch

Isaac Flath2022-11-10
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Python Programming Tips

A list of handy tips and tricks when programming in python

Isaac Flath2022-11-06
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K-Means From Scratch

A deep dive on K-Means where smart initialization and the full algorithm is implemented from scratch using pytorch

Isaac Flath2022-11-05
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Introduction To Statistical Testing

An introduction to Statistical Testing applied to Stock Trading

Isaac Flath2022-09-30
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Simple Time Series (Stock Prices)

An introduction to basic time series for stock prediction

Isaac Flath2022-08-05
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Practical Chatbots

Improving business processes using ML-Based chatbots

Isaac Flath2021-06-23
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Python Concurrency

Easy python poncurrency and parallel processing for Data Science

Isaac Flath2021-04-01
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CycleGAN Walk Through

A walkthrough of key components to a pytorch CycleGAN implementation.

Isaac Flath2021-03-20
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StyleGAN Components

Showing the key components to StyleGAN and how & why they work

Isaac Flath2021-03-01
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GAN Introduction

Summarizing the foundational concepts relating to GANs

Isaac Flath2021-02-20
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Plant Pathology Kaggle

Creating a top 10 leaderboard submission for the Plant Pathology Image Classification Kaggle Competition

Isaac Flath2021-02-15
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Neural Networks and XOR

How does a neural network transform non-linear data to solve complex problems. Fitting a neural Network to the XOR function.

Isaac Flath2021-01-09
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Tabular Modeling

How to approach tabular modeling

Isaac Flath2020-12-30
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Pseudo Labeling for Data Cleaning

Pseudo labeling for noise reduction and data creation in MNIST

Isaac Flath2020-12-15
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Partial Dependence Plotting

UA guide for showing the benefits and technique to Partial Dependence Plotting

Isaac Flath2020-11-20
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NLP Recurrent NN Foundations

What is an RNN? How does NLP work?

Isaac Flath2020-08-22
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NLP Tokenization Foundations

What is Tokenization? What is numericalization?

Isaac Flath2020-08-19
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Mixup Deep Dive

What is Mixup Data Augmentation really?

Isaac Flath2020-08-11
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Neural Network Foundations (Part 2)

MNIST multi-class classification from scratch with deep Learning

Isaac Flath2020-06-21
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Neural Network Foundations (Part 1)

MNIST 3/7 classification from scratch with deep Learning

Isaac Flath2020-06-19
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Gradient Descent for Linear Regression - Part 2

Unders the hood of gradient descent for model optimization

Isaac Flath2020-06-11
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Create a LLM Eval Application

A walkthrough of creating an evaluation framework with Shiny for Python

Isaac Flath2020-06-10
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Applied LLMs Topic Overview

A brief summary of the different topics that go into developing a good LLM based solution

Isaac Flath2020-06-10
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Gradient Descent for Linear Regression - Part 1B

Unders the hood of gradient descent for model optimization

Isaac Flath2020-06-01
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Gradient Descent for Linear Regression - Part 1

Unders the hood of gradient descent for model optimization

Isaac Flath2020-05-09
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