justachetan

DiffGeoOps

Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002

hnf-derivatives

Code for "Accurate Differential Operators for Hybrid Neural Fields"

VirtualElementMethods

A Python implementation of the paper "The virtual element method in 50 lines of MATLAB" by Oliver J. Sutton

psych-woebot

A study that we conducted as a part of "Introduction to Psychology" Course at IIITD

linear-optimisation

Code written as a part of assignments for MTH374 - Linear Optimisation taken by Dr. Pravesh Biyani at IIIT Delhi in Winter 2019 Semester

ifn-icassp-2011

Python implementation for the paper "Iterative feature normalization for emotional speech detection" by Busso et. al. published at ICASSP 2011

cp

A repository of my submissions at various Competitive Programming portals

oldwebsite.github.io

website

separato

iqb

Assignments done as a part of BIO213 - Introduction to Quantitative Biology offered at IIIT Delhi in Winter 2018

Research-Internships-for-Undergraduates

List of Research Internships for Undergraduate Students

advice

A repository of links with advice related to grad school applications, research, phd etc

al-folio

A beautiful Jekyll theme for academics

CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

cycle-consistent-vae-ECCV-2018

(Unofficial) PyTorch implementation for the paper "Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders" by Jha et. al. at ECCV 2018.

differentiable-sdf-rendering

Source code for "Differentiable Signed Distance Function Rendering" (Siggraph 2022)

dift

[NeurIPS'23] Emergent Correspondence from Image Diffusion

disentangling-robustness-generalization

CVPR'19 experiments with (on-manifold) adversarial examples.

distance-learner

Official implementation for "Distance Learner: Incorporating Manifold Prior to Model Training"

dot

Dense Optical Tracking: Connecting the Dots

dsc-iiitd.github.io

graduation

$ git remote <graduation> yearbook

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

jaxgptoolbox

Geometry processing utilities compatible with jax for autodifferentiation.

justachetan

Math_of_ML

Repository consists of the Jupyter Notebooks which will be demonstrated during the talk

medaCy

:hospital: Medical Text Mining and Information Extraction with spaCy

nglod

Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)

occupation-debiasing