Ben-Gayther's starred repositories
devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
3D-Machine-Learning
A resource repository for 3D machine learning
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
llm-numbers
Numbers every LLM developer should know
cracking-the-data-science-interview
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
magic-copy
Magic Copy is a Chrome extension that uses Meta's Segment Anything Model to extract a foreground object from an image and copy it to the clipboard.
effective-pandas
Source code for my collection of articles on using pandas.
awesome-jax
JAX - A curated list of resources https://github.com/google/jax
HackerrankPractice
170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL
GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
what_are_embeddings
A deep dive into embeddings starting from fundamentals
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
Hands-On-Graph-Neural-Networks-Using-Python
Hands-On Graph Neural Networks Using Python, published by Packt
M5-methods
Data, Benchmarks, and methods submitted to the M5 forecasting competition
fsdl-text-recognizer-2022-labs
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
MLSys-NYU-2022
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
ml_paper_club
A repository of papers that have been presented at nPlan's machine learning paper club
vanilla-machine-learning
vanilla machine learning
Spotify-Recommendation-System
Spotify Recommendation System Using Spotify Million Playlist Dataset
FairytaleDJ
You got a friend in me
nlp_preprocessing
Text Preprocessing Package includes cleaning, tokenization, dataset preparation ...etc