Prateek Gupta

KAN-Tutorial. Understanding Kolmogorov-Arnold Networks: A Tutorial Series on KAN using Toy Examples

Hybrid-learn2branch. Hybrid Models for Learning to Branch (NeurIPS 2020)

time_series_forecasting_tutorial. Tutorial on time series forecasting methods: from classical to llm-based approaches

U.S-Presidential-Speeches. Textual Analysis of speeches using Google's Word2Vec Model

covid_p2p_simulation. Simulator for COVID-19 spread

DQN-SAT. DQN agent for SAT Solving

ml_resources. Teaching resources for machine learning

physics_duality. Machine Learning Approach to Duality in Statistical Physics (ICML 2025)

GibbsSampler. GibbsSampler for MIxture Models

AudioAge. Transferring audio features to build models for rare conditions with scarce data

BHLDA. Body-Headline LDA : Concept of MicroLevel LDA

lookback-learn2branch. Lookback for Learning to Branch (TMLR 2022)

accessing-research-data. Course Assignments: Accessing Research Data | Oxford Internet Institute 2022

Coding4Fun. Basic data structures and their application

awesome-kan. A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.