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Starred repositories
Hands-On Data Preprocessing in Python, published by Packt
Curated list of data science interview questions and answers
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
stephencwelch / manim_videos
Forked from 3b1b/videosCode for the manim-generated scenes used in welch labs videos
A library for mechanistic interpretability of GPT-style language models
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A repository of 60 useful data science prompts for ChatGPT
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
Making Reddit data accessible to researchers, moderators and everyone else. Interact with the data through large dumps, an API or web interface.
Simple, unified interface to multiple Generative AI providers
Analyzing Google and iOS app reviews for mobile banking apps (Canada)
A game theoretic approach to explain the output of any machine learning model.
A collection of PDF/books about the modern web application security and bug bounty.
A complete computer science study plan to become a software engineer.
List of my most used commands and shortcuts in the terminal for Mac
A Large-Scale Empirical Study of Android Sports Apps in the Google Play Store
Machine learning course materials.
yektaLily / Deep-Learning-for-Causal-Inference
Forked from kochbj/Deep-Learning-for-Causal-InferenceExtensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.
🎓 A collection of interactive courses for the swirl R package.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Lime: Explaining the predictions of any machine learning classifier