Surya Murugaian (cybermax-008)

cybermax-008

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Location:Waterloo,canada

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Surya Murugaian's starred repositories

kalvi

📚🏫🚀 Open Source Infrastructure for Online Education. Easily launch educational platforms, craft online courses, sell mock tests, handle live classes, and foster communities - all without building from scratch.

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python-notebooks-for-apache-kafka

A Series of Notebooks on how to start with Kafka and Python

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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%

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Voyager

An Open-Ended Embodied Agent with Large Language Models

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fly-tailscale-exit

Run a VPN with global exit nodes with fly.io, tailscale and github!

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llama-hub

A library of data loaders for LLMs made by the community -- to be used with LlamaIndex and/or LangChain

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langchain

🦜🔗 Build context-aware reasoning applications

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private-gpt

Interact with your documents using the power of GPT, 100% privately, no data leaks

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plane

🔥 🔥 🔥 Open Source JIRA, Linear and Asana Alternative. Plane helps you track your issues, epics, and product roadmaps in the simplest way possible.

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awesome-illustrated-guides

Awesome illustrated guides or children's books on technical topics.

License:CC0-1.0Stargazers:333Issues:0Issues:0

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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Text2ImageRetrieval

Extract matching images from the input text in the dataset by using the triplet margin loss function.

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Text-and-Content-Based-Image-Retrieval

An image captioning based image retrieval model which can be used both via GUI and command line

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Fwaf-Machine-Learning-driven-Web-Application-Firewall

Machine learning driven web application firewall to detect malicious queries with high accuracy.

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basecs-series

A compiled list of resources from the basecs series

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faker

Faker is a Python package that generates fake data for you.

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machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

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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

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yelp-restaurant-recommendation-system

A collaborative-filtering (with SVD) recommendation system trained on the Yelp Open Dataset

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Yelp-Recommendation-System

Machine Learning, SVD algorithm, Python

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recommendation

Recommendation System using ML and DL

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Building-Recommender-Systems-with-Machine-Learning-and-AI

Building Recommender Systems with Machine Learning and AI, published by Packt

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Yelp-Recommendation-System

Recommend Restaurants to User based on the ratings given by them to the restaurants

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Restaurant-Recommendation-System-using-Yelp-Dataset

Building a Recommendation System for customer using Yelp dataset of restaurants.

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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.

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Restaurant-Recommendations-with-Yelp

🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.

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Amazon-fine-food-review

Review classification and recommendation system based on random forest and data analysis of amazon food review dataset

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coding-interview-university

A complete computer science study plan to become a software engineer.

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ML-based-WAF

Simple machine learning based web application firewall (WAF) created in python

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