ByronHsu/awesomeMLSys
An ML Systems Onboarding list
RL System at Periodic Labs | SGLang, ex-xAI
An ML Systems Onboarding list
A high-throughput and memory-efficient inference and serving engine for LLMs
Ongoing research training transformer models at scale
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Hosts all static resources across repositories
Flyte Documentation 📖
Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.
leetcode practice
108-1 Parallel Computing Programming Assignments
⚡ Building applications with LLMs through composability ⚡
A toolkit to run Ray applications on Kubernetes
Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
FlytePropeller is a Kubernetes native operator, that executes Flyte Workflows and Tasks. It has its own kubectl-flyte CLI to interact and is extensible using the flyteplugins/pluginmachinery interface
Share some helpful development-only files.
https://15445.courses.cs.cmu.edu/fall2019/
NTU NLP hw4
2019 DSP Final - A smarter course query system.
Applied RGB as constraint, and generate anime characters with any color
Open source platform for the machine learning lifecycle
Scalable, redundant, and distributed object store for Apache Hadoop
Apache Spark - A unified analytics engine for large-scale data processing
2019 NTUEE Computer Architecture Final Project