Ben-Gayther's starred repositories
openai-cookbook
Examples and guides for using the OpenAI API
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
data-science-interviews
Data science interview questions and answers
techniques
Techniques for deep learning with satellite & aerial imagery
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
machine-learning-cheat-sheet
Classical equations and diagrams in machine learning
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
awesome-ml-courses
Awesome free machine learning and AI courses with video lectures.
machine-learning-interview-questions
This repository is to prepare for Machine Learning interviews.
tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
just-pandas-things
An ongoing list of pandas quirks
REaLTabFormer
A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
targetedSummarization
TextReducer - A Tool for Summarization and Information Extraction
causal-chains
Library for creating causal chains using language models.
pytorch-adversarial-examples-training-articles
PyTorch code corresponding to my blog series on adversarial examples and (confidence-calibrated) adversarial training.
adverse-drug-effect-detection
This repo demonstrates how to train an NLP model that can detect adverse drug effects (ADEs) in phrases.