Posts by Tag

• Machine learning 11
• Blog 9
• from scratch 8
• numpy 6
• Attention 2
• Project 1
• reinforcement learning 1
• Hackathon 1
• AI for Social good 1
• LLM 1
• pytorch 1
• ICL 1

Machine learning

The Math Behind In-Context Learning Permalink

less than 1 minute read

From attention to gradient descent: unraveling how transformers learn from examples

Linearizing Attention Permalink

less than 1 minute read

Breaking the quadratic barrier: modern alternatives to softmax attention

Deeper is better: Coding ResNet from scratch Permalink

less than 1 minute read

Simple implementation of ResNet-50 from scratch using pytorch

Random Forest & AdaBoost: Coding Ensemble Methods from Scratch Permalink

less than 1 minute read

Simple implementation of Random Forest & AdaBoost(SAMME)

Decision Trees: Branching Out Step by Step Permalink

less than 1 minute read

Step-by-step guide on building a Decision Tree using Gini impurity

Principal Component Analysis: Reducing dimensionality from scratch Permalink

less than 1 minute read

Simple implementation of Principal Component Analysis (PCA) from scratch in numpy

Flows - MongoDB GenAI Hackathon 2024 Permalink

less than 1 minute read

Flows is a browser extension that turns inconsistent webpage UIs into standardized, streamlined action flows to blaze through every website on the Internet.

Multinomial Logistic Regression — coding classification from scratch Permalink

less than 1 minute read

Simple implementation of gradient descent for multinomial logistic regression from scratch in numpy

Regularization: Coding a fix for overfitting in Regression from Scratch Permalink

less than 1 minute read

Simple implementation of L1 and L2 regularization from scratch in python using numpy

Linear Regression: Coding the OG from Scratch Permalink

less than 1 minute read

Simple implementation of SGD and closed form solution for linear regression using numpy

Offline Reinforcement Learning for autonomous driving Permalink

less than 1 minute read

EECS 545 Winter 2024 final project report and code. Using INTERACTION dataset to learn human driving behaviour using reinforcement learning

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Blog

The Math Behind In-Context Learning Permalink

less than 1 minute read

From attention to gradient descent: unraveling how transformers learn from examples

Linearizing Attention Permalink

less than 1 minute read

Breaking the quadratic barrier: modern alternatives to softmax attention

Deeper is better: Coding ResNet from scratch Permalink

less than 1 minute read

Simple implementation of ResNet-50 from scratch using pytorch

Random Forest & AdaBoost: Coding Ensemble Methods from Scratch Permalink

less than 1 minute read

Simple implementation of Random Forest & AdaBoost(SAMME)

Decision Trees: Branching Out Step by Step Permalink

less than 1 minute read

Step-by-step guide on building a Decision Tree using Gini impurity

Principal Component Analysis: Reducing dimensionality from scratch Permalink

less than 1 minute read

Simple implementation of Principal Component Analysis (PCA) from scratch in numpy

Multinomial Logistic Regression — coding classification from scratch Permalink

less than 1 minute read

Simple implementation of gradient descent for multinomial logistic regression from scratch in numpy

Regularization: Coding a fix for overfitting in Regression from Scratch Permalink

less than 1 minute read

Simple implementation of L1 and L2 regularization from scratch in python using numpy

Linear Regression: Coding the OG from Scratch Permalink

less than 1 minute read

Simple implementation of SGD and closed form solution for linear regression using numpy

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from scratch

Linearizing Attention Permalink

less than 1 minute read

Breaking the quadratic barrier: modern alternatives to softmax attention

Deeper is better: Coding ResNet from scratch Permalink

less than 1 minute read

Simple implementation of ResNet-50 from scratch using pytorch

Random Forest & AdaBoost: Coding Ensemble Methods from Scratch Permalink

less than 1 minute read

Simple implementation of Random Forest & AdaBoost(SAMME)

Decision Trees: Branching Out Step by Step Permalink

less than 1 minute read

Step-by-step guide on building a Decision Tree using Gini impurity

Principal Component Analysis: Reducing dimensionality from scratch Permalink

less than 1 minute read

Simple implementation of Principal Component Analysis (PCA) from scratch in numpy

Multinomial Logistic Regression — coding classification from scratch Permalink

less than 1 minute read

Simple implementation of gradient descent for multinomial logistic regression from scratch in numpy

Regularization: Coding a fix for overfitting in Regression from Scratch Permalink

less than 1 minute read

Simple implementation of L1 and L2 regularization from scratch in python using numpy

Linear Regression: Coding the OG from Scratch Permalink

less than 1 minute read

Simple implementation of SGD and closed form solution for linear regression using numpy

Back to Top ↑

numpy

Random Forest & AdaBoost: Coding Ensemble Methods from Scratch Permalink

less than 1 minute read

Simple implementation of Random Forest & AdaBoost(SAMME)

Decision Trees: Branching Out Step by Step Permalink

less than 1 minute read

Step-by-step guide on building a Decision Tree using Gini impurity

Principal Component Analysis: Reducing dimensionality from scratch Permalink

less than 1 minute read

Simple implementation of Principal Component Analysis (PCA) from scratch in numpy

Multinomial Logistic Regression — coding classification from scratch Permalink

less than 1 minute read

Simple implementation of gradient descent for multinomial logistic regression from scratch in numpy

Regularization: Coding a fix for overfitting in Regression from Scratch Permalink

less than 1 minute read

Simple implementation of L1 and L2 regularization from scratch in python using numpy

Linear Regression: Coding the OG from Scratch Permalink

less than 1 minute read

Simple implementation of SGD and closed form solution for linear regression using numpy

Back to Top ↑

Attention

The Math Behind In-Context Learning Permalink

less than 1 minute read

From attention to gradient descent: unraveling how transformers learn from examples

Linearizing Attention Permalink

less than 1 minute read

Breaking the quadratic barrier: modern alternatives to softmax attention

Back to Top ↑

Project

Offline Reinforcement Learning for autonomous driving Permalink

less than 1 minute read

EECS 545 Winter 2024 final project report and code. Using INTERACTION dataset to learn human driving behaviour using reinforcement learning

Back to Top ↑

reinforcement learning

Offline Reinforcement Learning for autonomous driving Permalink

less than 1 minute read

EECS 545 Winter 2024 final project report and code. Using INTERACTION dataset to learn human driving behaviour using reinforcement learning

Back to Top ↑

Hackathon

Flows - MongoDB GenAI Hackathon 2024 Permalink

less than 1 minute read

Flows is a browser extension that turns inconsistent webpage UIs into standardized, streamlined action flows to blaze through every website on the Internet.

Back to Top ↑

AI for Social good

Flows - MongoDB GenAI Hackathon 2024 Permalink

less than 1 minute read

Flows is a browser extension that turns inconsistent webpage UIs into standardized, streamlined action flows to blaze through every website on the Internet.

Back to Top ↑

LLM

Flows - MongoDB GenAI Hackathon 2024 Permalink

less than 1 minute read

Flows is a browser extension that turns inconsistent webpage UIs into standardized, streamlined action flows to blaze through every website on the Internet.

Back to Top ↑

pytorch

Deeper is better: Coding ResNet from scratch Permalink

less than 1 minute read

Simple implementation of ResNet-50 from scratch using pytorch

Back to Top ↑

ICL

The Math Behind In-Context Learning Permalink

less than 1 minute read

From attention to gradient descent: unraveling how transformers learn from examples

Back to Top ↑