kartikchincholikar Goto Github PK

airs--copy-

Artificial Intelligence for Science (AIRS)

badminton-analysis

An attempt to collect and use data to find a player's "Patterns of Play". These can be exploited in a match.

bcresnet

Broadcasted Residual Learning for Efficient Keyword Spotting

category-theory-illustrated

A book about category theory

escnn

Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/

geometric-deep-learning-sources

A collection of resources to help beginners get started with geometric deep learning

hill-climber

Training a hill climber to go up any 2d terrain ( finds local peaks ). "Neural Network" of the hill climber classifies between "go left" and "go right" by looking at its surrounding terrain.

introduction-to-algorithms

📚 Introduction to Algorithms

kartikchincholikar

kartikchincholikar.github.io

Portfolio Website of Kartik Chincholikar, who also goes by the "Kartik C", "Badminton School" and is currently learning Search Engine Optimization :p

my_portfolio

Portfolio showcasing works and skills

parallax-background

A parallax mouse move effect featuring the character of The Bride from the film Kill Bill. The effect uses the Parallax.js engine.

patchcore-inspection

pca_notebook

PCA is done to reduce the dimensionality of the data. In this notebook, we do PCA using just numpy.

pdf-llm

speech-recognition-template-for-anvil

A Google Colab notebook ( where we load a pretrained model ) which connects to the frontend ( Anvil )

statistical-learning-theory-simulations

Running toy simulations to understand the Statistical Learning Theory framework.

xor

Colab Notebook to understand how neural networks transform the data nonlinearly. I train a very simply neural network using numpy to classify a toy dataset (XOR) - Kartik Chincholikar