Stars
The repository implements a set of algorithms from the book "Methods in Computational Science", written by Johan Hoffman and published by SIAM, available at: https://my.siam.org/Store/Pr 8000 oduct/viewp…
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through w…
GPU Performance Engineering
A library to analyze PyTorch traces.
Notes/links on math and science, including statistics, bayes, cmpsc, quant trading, machine learning, etc
Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)
This repository will be used to help me consolidate my knowledge regarding various ML Topics.
A curriculum for learning about foundation models, from scratch to the frontier
Important concepts in numerical linear algebra and related areas
Machine Learning for Alignment Bootcamp
Improved version of the technical workshops for the 10-day ML4G camp on safety of AI systems
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Deep Graph-Based Learning Course (ICL, Computing)
Fall 2018 Linear Algebra With Abstract Vector Spaces - Georgia Tech
A collection of tech internships around europe.
A collection of learning resources for curious software engineers
C++ Course Taught at CERN, from Sebastien Ponce (LHCb)
A curated list of awesome resources dedicated to Scaling Laws for LLMs
18.335 - Introduction to Numerical Methods course
鉴于我没有时间继续写这个东西，这个项目暂时废止