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Foundation Models for Time Series Forecasting
ML
Exploring the foundation models for time series forecasting
Jul 6, 2024
Zeel B Patel
Building GPT from scratch
ML
Building GPT from scratch
Jul 1, 2024
Zeel B Patel
Fundamentals across ML domains
ML
Knowledge transfer between ML domains
Jun 25, 2024
Zeel B Patel
Seq to Seq
ML
Rational driven history of Seq to Seq models
Jun 24, 2024
Zeel B Patel
WRF Tutorial
ML
WRF end-to-end tutorial
Mar 4, 2024
Zeel B Patel
Learnings from the Brick Kiln Project
ML
Learnings from the Brick Kiln Project
Nov 28, 2023
Zeel B Patel
Data Handling for Large Scale ML
ML
An exploratory analysis of various dataset handling processes to optimize memory, diskspace and speed.
Sep 30, 2023
Zeel B Patel
Active Learning with MNIST
ML
Active Learning with MNIST
Sep 30, 2023
Zeel B Patel
Non-Gaussian Likelihoods for MLPs
ML
Non-Gaussian Likelihoods for MLPs
Sep 16, 2023
Zeel B Patel
Pruning vs Uncertainty
ML
Pruning vs Uncertainty
Sep 14, 2023
Zeel B Patel
Bayesian Basis Regression
ML
Bayesian Basis Regression
Aug 31, 2023
Zeel B Patel
Google Air Quality Data
NumPy, Mathematics
Google Air Quality API
Aug 31, 2023
Zeel B Patel
How numpy handles day-to-day algebra?
NumPy, Mathematics
A deep dive into basic operations of numpy
Aug 26, 2023
Zeel B Patel
Can Rank 1 GPs represent all GPs?
ML, GP
A trial
Jul 31, 2023
Zeel B Patel
Download low-cost data from OpenAQ
ML, GP
A guide to download low-cost sensor data from OpenAQ
Jul 26, 2023
Zeel B Patel
Multi-class classification with Gaussian Processes
ML, GP
Multi-class GP classification with different strategies
Jul 4, 2023
Zeel B Patel
Climate Modeling with GPs
ML
Exploring the use of GPs for climate modeling
Jul 4, 2023
Zeel B Patel
Climate Modeling with SIRENs
ML
Exploring the use of SIRENs for climate modeling
Jul 1, 2023
Zeel B Patel
GNNs and GPs
ML
Exploring similarities between GNNs and GPs
Jun 23, 2023
Zeel B Patel
Basis functions
ML
Exploring basis functions
Jun 12, 2023
Zeel B Patel
Graph Neural Networks for Regression
ML
Challenges in using GNNs for regression using various strategies
Jun 12, 2023
Zeel B Patel
Conditional Neural Processes for Image Interpolation
ML
Extreme Image Interpolation with Conditional Neural processes
May 31, 2023
Zeel B Patel
Passwordless SSH setup for MacOS Hosts
macOS
A tiny handbook to setup passwordless ssh in MacOS
May 14, 2023
Zeel B Patel
Sine Combination Networks
ML
Challenges in fitting to a combination of sine waves
Apr 29, 2023
Zeel B Patel
Neural Network Gaussian Process
GP
ML
Exploring NTK kernels + GPJax with toy datasets
Mar 28, 2023
Zeel B Patel
Stochastic Variational Gaussian processes in JAX
GP
A practical implementation of Hensman et al. 2015 from scratch in JAX
Oct 31, 2022
Zeel B Patel
Multi-Output Gaussian Processes
ML
Exploring MOGPs from scratch
Oct 27, 2022
Zeel B Patel
Gaussian Processes - A no-skip-math version
ML
End-to-end math derivations for Gaussian process regression and classification
Oct 21, 2022
Zeel B Patel
Train NN with KFAC-Laplace in JAX
ML
Exploring KFAC-Laplace approximation on simple problems in JAX
Oct 18, 2022
Zeel B Patel
Conditional Neural Processes in JAX
ML
Implementing conditional neural processes from scratch in JAX
Aug 1, 2022
Zeel B Patel
JAX Optimizers
ML
Pros and cons of several jax optimizers.
Jun 10, 2022
Zeel B Patel
Get a list of contributors from a repo
GitHub
Get contributorsâ€™ list using GitHub API and pandas
May 17, 2022
Zeel B Patel
Iteratively reweighted least squares (IRLS) logistic regression
ML
Implementation of IRLS from Probabilistic ML book of Dr. Kevin Murphy and its comparison with naive second order implementation.
May 14, 2022
Zeel B Patel
Gcloud cheatsheet
Gcloud
Most used commands while working with gcloud
Apr 9, 2022
Zeel B Patel
GitHub Contrubuting FAQs
GitHub
This is a collection of FAQs/road-blocks/queries/issues I had over the past 2 years of engagement with GitHub.
Apr 6, 2022
Zeel B Patel
Torch essentials
ML
Practical and direct introduction to PyTorch
Mar 8, 2022
Zeel B Patel
Probabilistic Machine Learning
ML
A video lecture series from Prof. Philipp Hennig
Mar 6, 2022
Zeel B Patel
Uncertainty in Deep Learning
ML
Review of PhD thesis of Dr. Yarin Gal
Mar 5, 2022
Zeel B Patel
PyTorch Tips
ML
PyTorch zen tips
Feb 25, 2022
Zeel B Patel
Conference Presentation Tips
Academic
Conference Presentation Tips
Jan 29, 2022
Zeel B Patel
Comparing Gaussian Process Regression Frameworks
ML
A basic comparison among GPy, GPyTorch and TinyGP
Jan 25, 2022
Zeel B Patel, Harsh Patel, Shivam Sahni
Query by Committee
ML
A programming introduction to QBC with Random Forest Classifier.
Jan 24, 2022
Zeel B Patel
KL divergence v/s cross-entropy
ML
Understanding KL divergence
Jan 20, 2022
Zeel B Patel
Why .py files are better than .ipynb files for ML codebase
Python
Where .py files are better than .ipynb files?
Jan 15, 2022
Zeel B Patel
Anonymization tips for double-blind submission
Academic
A last-minute help list
Oct 26, 2021
Zeel B Patel
Input Warped GPs - A failed idea
ML
An idea of input warping GPs
Oct 23, 2021
Zeel B Patel
SparseGPs in Stheno
A simple demo of sparse regression in stheno with VFE and FITC methods.
Oct 12, 2021
Zeel B Patel
Docker Cheatsheet
Docker
Most used command while working with Docker
Sep 28, 2021
Zeel B Patel
How to apply constraint on parameters in various GP libraries
Apply constraints in GPy, GPFlow, GPyTorch
Sep 27, 2021
Zeel B Patel
Understanding Kernels in Gaussian Processes
ML
An exploratory analysis of kernels in GPs
Mar 22, 2021
Zeel B Patel
Programatically download OpenAQ data
Programatically download OpenAQ data
Sep 21, 2020
Zeel B Patel
Active Learning with Bayesian Linear Regression
ML
A programming introduction to Active Learning with Bayesian Linear Regression.
Mar 28, 2020
Zeel B Patel, Nipun Batra
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