A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Home Page: https://ai-engineering.club/
License: MIT License
Training Deep Neural Networks with Large Outputs on a CPU faster than a V100-GPU None
NeMo: A Toolkit for Building AI Applications Using Neural Modules
https://arxiv.org/pdf/1909.09577.pdf
https://github.com/NVIDIA/NeMo
5 Parallel Prism: A Topology for Pipelined Implementations of Convolutional Neural Networks Using Computational Memory
https://arxiv.org/pdf/1906.03474.pdf
LISA: Towards Learned DNA Sequence Search
https://arxiv.org/pdf/1910.04728.pdf
Hi, maybe the hyperlink about Computer Architecture: A Quantitative Approach [Must read] not work now.
RT #56
Author: Chip Huyen
Summary: This course aims to provide an iterative framework for developing real-world machine learning systems that are deployable, reliable, and scalable.
PipeDream: Generalized Pipeline Parallelism for DNN Training
https://cs.stanford.edu/~matei/papers/2019/sosp_pipedream.pdf
Parity Models: Erasure-Coded Resilience for Prediction Serving Systems
link: https://github.com/intelligent-machine-learning/dlrover/tree/master]
I have try it's demo and I think it's a powerful tool for LLM training, u may add this to the list🤪
https://www.usenix.org/conference/opml19/program
Prepare to read papers
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
