Surya Murugaian's starred repositories
coding-interview-university
A complete computer science study plan to become a software engineer.
private-gpt
Interact with your documents using the power of GPT, 100% privately, no data leaks
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
tree-of-thoughts
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
fly-tailscale-exit
Run a VPN with global exit nodes with fly.io, tailscale and github!
basecs-series
A compiled list of resources from the basecs series
recommendation
Recommendation System using ML and DL
Fwaf-Machine-Learning-driven-Web-Application-Firewall
Machine learning driven web application firewall to detect malicious queries with high accuracy.
CrackingMachineLearningInterview
A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews
awesome-illustrated-guides
Awesome illustrated guides or children's books on technical topics.
python-notebooks-for-apache-kafka
A Series of Notebooks on how to start with Kafka and Python
Building-Recommender-Systems-with-Machine-Learning-and-AI
Building Recommender Systems with Machine Learning and AI, published by Packt
ML-based-WAF
Simple machine learning based web application firewall (WAF) created in python
Text-and-Content-Based-Image-Retrieval
An image captioning based image retrieval model which can be used both via GUI and command line
Restaurant-Recommendations-with-Yelp
🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.
Restaurant-Recommendation-System-using-Yelp-Dataset
Building a Recommendation System for customer using Yelp dataset of restaurants.
Yelp-Recommendation-System
Recommend Restaurants to User based on the ratings given by them to the restaurants
Yelp-Recommendation-System
Machine Learning, SVD algorithm, Python
yelp-restaurant-recommendation-system
A collaborative-filtering (with SVD) recommendation system trained on the Yelp Open Dataset
Yelp-Restaurants-RecSys
Restaurant Recommendation Systems based on the Yelp dataset using Wide and Deep Recommendation System, Infersent (Annoy indexed), ALS, Factor Machines and Graph based models.
Amazon-fine-food-review
Review classification and recommendation system based on random forest and data analysis of amazon food review dataset
Text2ImageRetrieval
Extract matching images from the input text in the dataset by using the triplet margin loss function.