Plan and visualize staff labor allocation

Point of Sale (POS)-Based Labor Planning: A Data Warehousing Approach to Enhance Retail Decision-Making

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Bayesian Tensor Decomposition Approach for Incomplete Traffic Data Imputation

Estimating the Traffic State by Hankel-Structured Tensor in Low-rank Space.

Cooperative control for traffic light signals and connected autonomous vehicles using deep reinforcement learning

Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.

Forecasting Uber demand in NYC neighborhoods

Boost Shortest Path Algorithm Implementations using Proper Data Structures

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

My solutions for discrete optimization course on Coursera

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail chain (Machine Learning in sklearn, MIP optimization in Gurobi)

NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

Source code associated with final project for Machine Learning Course (CS 229) at Stanford University; Used reinforcement learning approach in a SUMO traffic simulation environment

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

Explore Pandas and Numpy in these 15 days

Advaced courses on matching, ranging, dynamic price, A/B testing and uplift modeling.

A Simulator for Dynamic Ride-Sharing with Pooling: Joint Matching,Pricing, Route Planning, and Dispatching

(ECCV 2020) PiP: Planning-informed Trajectory Prediction for Autonomous Driving

Full-stack web application template with FastAPI, React, SQLModel, PostgreSQL, Vite, Tailwind CSS, shadcn/ui, FastAPI Cloud, and Docker Compose.

This is a project to predict the lane change intention and trajectory incorporating traffic context information

The autonomous driving related publications of our lab.

Road safety is one of the top most priority of every government and individual. Government spends billions of dollars on making great roadway infrastructure and safety certification of the vehicles…

LSTM lane-changing detection utilizing highD dataset

Collection of New Grad Full Time positions in SWE, Quant, and PM.