Machine Learning and Computer Vision Engineer - Technical Interview Questions

A beginner's project on automating the training, evaluation, versioning, and deployment of models using GitHub Actions.

Docs & cook books for fine-tuning smaller models with the Hugging Face library

Curated list of data science interview questions and answers

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Machine Learning algorithm implementations from scratch.

a simple machine learning pipeline built using Apache AirFlow

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

implement basic and contextual MAB algorithms for recommendation system

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

Python implementations of contextual bandits algorithms

BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.

Deep Reinforcement Learning for Recommender Systems

The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Dataset Batch(offline) Reinforcement Learning for recommender system

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

[Coursera] Reinforcement Learning Specialization by "University of Alberta" & "Alberta Machine Intelligence Institute"

Processing, EDA, and ML on wine ratings

Learn Apache Airflow with examples

Notes from various courses in OMSCS program for reference only. For obvious reasons, no non-public coursework or materials exist in this repository.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

A/B Testing — A complete guide to statistical testing

A minimal ChatGPT-like UI built with Streamlit

Algorithms to categorize products and do named entity recognition on words in product descriptions

An introduction to recommendation systems in Python

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.