Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

My learning notes for ML SYS.

Quant prep resources/logs

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

N-Ways to GPU Programming Bootcamp

一本系统地教你将深度学习模型的性能最大化的战术手册。

A playbook for systematically maximizing the performance of deep learning models.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

AI实战-practicalAI 中文版

Crack LeetCode, not only how, but also why.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals

An Interview Primer for Quantitative Finance

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…

Quant/Algorithm trading resources with an emphasis on Machine Learning

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Long baseline physics working group tools.

Lecture materials and activities for Michelle Kuchera's lectures at AI4NP

Notebooks and saved models for the AI4NP School

Official macros to run Fun4All coresoftware. Welcome to fork and to edit for your own studies.