Thoughts, tutorials and technical writings
Accelerate your UI development with MonsterUI, our Python library for building frontend UIs quickly in FastHTML apps.
Step by step tutorial to rendering markdown in FastHTML using zero-md
A deep dive on meanshift clustering with the full algorithm implemented from scratch using pytorch
A list of handy tips and tricks when programming in python
A deep dive on K-Means where smart initialization and the full algorithm is implemented from scratch using pytorch
An introduction to Statistical Testing applied to Stock Trading
An introduction to basic time series for stock prediction
Improving business processes using ML-Based chatbots
Easy python poncurrency and parallel processing for Data Science
A walkthrough of key components to a pytorch CycleGAN implementation.
Showing the key components to StyleGAN and how & why they work
Summarizing the foundational concepts relating to GANs
Creating a top 10 leaderboard submission for the Plant Pathology Image Classification Kaggle Competition
How does a neural network transform non-linear data to solve complex problems. Fitting a neural Network to the XOR function.
How to approach tabular modeling
Pseudo labeling for noise reduction and data creation in MNIST
UA guide for showing the benefits and technique to Partial Dependence Plotting
What is an RNN? How does NLP work?
What is Tokenization? What is numericalization?
What is Mixup Data Augmentation really?
MNIST multi-class classification from scratch with deep Learning
MNIST 3/7 classification from scratch with deep Learning
Unders the hood of gradient descent for model optimization
A walkthrough of creating an evaluation framework with Shiny for Python
A brief summary of the different topics that go into developing a good LLM based solution
Unders the hood of gradient descent for model optimization
Unders the hood of gradient descent for model optimization