Stars
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
Practical course about Large Language Models.
Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻
System design interview for IT companies
Stock options, RSUs, taxes — read the latest edition: www.holloway.com/ec
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
VIP cheatsheets for Stanford's CS 229 Machine Learning
NLP Model for predicting 17 different languages
Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models
Minimal and clean examples of machine learning algorithms implementations
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A collection of machine learning examples and tutorials.
List of Computer Science courses with video lectures.
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
An Interview Primer for Quantitative Finance
Performance analysis of predictive (alpha) stock factors
Zipline, a Pythonic Algorithmic Trading Library
Learning in infinite dimension with neural operators.
Everything you need to know to get the job.
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube
Implementation of Convolutional LSTM in PyTorch.