Lakshya Agarwal's repositories
Stanford-CS229
My notes for Stanford's CS229 course
ML-Tree-Based-Algorithms
Implementing Tree-based algorithms from scratch (Decision Tree, Random Forest, and Gradient Boosting) from scratch and comparing it to the scikit-learn implementation.
Route-Optimization-STM
A route optimization model for urban disaster evacuation planning in Montreal using GTFS data
Airbnb-Price-Predictor
Predicting prices for Airbnb listings in Montreal, QC and exploring causal factors influencing price
House-Price-Category-Deep-Learning
Multi-task deep learning for predicting house price and category using PyTorch and Lightning
image-to-ad-copy
Identifying products from images using GPT-4-Vision and generating ad copies for them.
IPLDashboard
IPL Analytics Dashboard - created with R and Shiny
2024-ona-assignments
ORGB 672: Organizational Network Analysis
ARENA_3.0
Learning about mechanistic interpretability
cohere-toolkit
Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.
guardrails
Adding guardrails to large language models.
instructor
structured outputs for llms
INSY662-Group-Project
A price prediction machine learning model on Airbnb listings for 5 cities.
langchain
⚡ Building applications with LLMs through composability ⚡
MGSC-661-Midterm-Project
IMDb rating prediction using machine learning
mgsc-695-optimization-for-data-science
Source Code for Assignments in MGSC 695: Optimization Methods for Data Science offered at McGill during the Winter 2024 Semester
neural-networks-karpathy
Collection of folders to understand NNs better