Pinned Repositories
Airbnb-Price-Predictor
Predicting prices for Airbnb listings in Montreal, QC and exploring causal factors influencing price
CSGO-Visualization
Library to quickly parse CSGO demos and visualize important metrics such as grenade trajectories and weapon heatmaps
Deep-Learning-From-Scratch
Implementing popular deep learning papers in PyTorch
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.
India-Trade-Data
A web scraper written in Python to gather trade data for India across commodities and countries
micrograd
The Autograd Engine that implements backpropagation
nft-game-buildspace
Front-end code for NFT game on Rinkeby Testnet
Route-Optimization-STM
A route optimization model for urban disaster evacuation planning in Montreal using GTFS data
Stanford-CS229
My notes for Stanford's CS229 course
lakshyaag's Repositories
lakshyaag/micrograd
The Autograd Engine that implements backpropagation
lakshyaag/Deep-Learning-From-Scratch
Implementing popular deep learning papers in PyTorch
lakshyaag/image-to-ad-copy
Identifying products from images using GPT-4-Vision and generating ad copies for them.
lakshyaag/job-description-parser
A quick prototype to translate unstructured job descriptions into structured data.
lakshyaag/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.
lakshyaag/Route-Optimization-STM
A route optimization model for urban disaster evacuation planning in Montreal using GTFS data
lakshyaag/yt-lesson-planner
lakshyaag/Airbnb-Price-Predictor
Predicting prices for Airbnb listings in Montreal, QC and exploring causal factors influencing price
lakshyaag/House-Price-Category-Deep-Learning
Multi-task deep learning for predicting house price and category using PyTorch and Lightning
lakshyaag/2024-ona-assignments
ORGB 672: Organizational Network Analysis
lakshyaag/ai-rsc-tutorial
lakshyaag/AIE3
lakshyaag/ARENA_3.0
Learning about mechanistic interpretability
lakshyaag/Beyond-ChatGPT
Building your first LLM application with OpenAI, Chainlit, and Hugging Face, step-by-step!
lakshyaag/cohere-toolkit
Toolkit is a collection of prebuilt components enabling users to quickly build and deploy RAG applications.
lakshyaag/gen-ui-python
🧬🐍 Generative UI web application built with LangChain Python, AI SDK & Next.js
lakshyaag/huggingface-nlp-course
lakshyaag/instructor
structured outputs for llms
lakshyaag/INSY-669-Group-Project
lakshyaag/INSY670-SocialMediaAnalytics-Group
lakshyaag/lakshyaag
lakshyaag/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
lakshyaag/llm-experiments
lakshyaag/MGSC-695-Deep-Learning
lakshyaag/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
lakshyaag/mlp
The Multilayer Perceptron Language Model
lakshyaag/neural-networks-karpathy
Collection of folders to understand NNs better
lakshyaag/ngram
The n-gram Language Model
lakshyaag/nnfs-neural-networks-from-scratch
lakshyaag/wordle-bot