jlouployer's Stars
youssefHosni/Awesome-Data-AI-careers-Roadmaps
A curated list of roadmaps covering different skills data science & AI careers and skills
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
BRL-CAD/brlcad
BRL-CAD is a powerful cross-platform open source combinatorial solid modeling system
telmo-correa/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
karpathy/LLM101n
LLM101n: Let's build a Storyteller
goldmansachs/gs-quant
Python toolkit for quantitative finance
GeostatsGuy/DataScienceInteractivePython
Python interactive dashboards for learning data science
dabochen/spreadsheet-is-all-you-need
A nanoGPT pipeline packed in a spreadsheet
google-deepmind/materials_discovery
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
rlsummerschool/practical-sessions
Lightning-AI/litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
omarsar/nlp_overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
mlabonne/llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
marcelomijas/econometrics-cheatsheet
Multiple econometrics cheat sheets with a complete and summarize review going from the basics of an econometric model to the solution of the most popular problems.
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
evidentlyai/ml_observability_course
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
felixjwong/antibioticsai
Supporting code for the paper "Discovery of a structural class of antibiotics with explainable deep learning"
ai-infrastructure-alliance/mltrl
Repository for the ML Technology Readiness Levels framework
google-deepmind/graphcast
MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
zafstojano/ml-interview-questions-and-answers
This repo contains my solutions to “Introduction to Machine Learning Interviews” by Chip Huyen.
youssefHosni/Getting-Started-with-Generative-AI
A curated list of articles and tutorials to start with and understand generative AI
microsoft/generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
streamdal/streamdal
Code-Native Data Privacy
a16z-infra/ai-getting-started
A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs
ykhli/local-ai-stack
A starter kit to build *local-only* AI apps that cost $0 to run -- starting with document Q&A. Written in Javascript
Harvard-IACS/2019-CS109A
https://harvard-iacs.github.io/2019-CS109A/
Music-and-Culture-Technology-Lab/omnizart
Omniscient Mozart, being able to transcribe everything in the music, including vocal, drum, chord, beat, instruments, and more.