Pinned Repositories
katib
Automated Machine Learning on Kubernetes
mpi-operator
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
training-operator
Distributed ML Training and Fine-Tuning on Kubernetes
kuberay
A toolkit to run Ray applications on Kubernetes
ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Ceinema-Swift
The swift version of Ceinema app
Eye_Activity_Level
An eye activity level detector based on open source project eyeLike.
GpuFinal
cuda programming
Python-Computing-Acceleration
Dynamic language and software development
shaowei-su's Repositories
shaowei-su/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
shaowei-su/alpaca-lora
Instruct-tuning LLaMA on consumer hardware
shaowei-su/common
Common APIs and libraries shared by other Kubeflow operator repositories.
shaowei-su/common-1
Common source, scripts and utilities shared across all Triton repositories.
shaowei-su/coursera-spark-notes
Study notes for "Big Data Analysis with Scala and Spark" on Coursera
shaowei-su/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
shaowei-su/deepspeed-feedstock
A conda-smithy repository for deepspeed.
shaowei-su/determined
Determined: Deep Learning Training Platform
shaowei-su/high_school
shaowei-su/home
shaowei-su/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
shaowei-su/instruction-fine-tuning-gpt-sagemaker
shaowei-su/katib
Repository for hyperparameter tuning
shaowei-su/large-scale-lm-tutorials
Large-scale language modeling tutorials with PyTorch
shaowei-su/Learn-Algorithms
算法学习笔记
shaowei-su/mastering-apache-spark-book
Mastering Apache Spark 2.0
shaowei-su/model_search
shaowei-su/mosec
A high-performance serving framework for ML models, offers dynamic batching and multi-stage pipeline to fully exploit your compute machine
shaowei-su/mpi-operator
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
shaowei-su/pipelines
Machine Learning Pipelines for Kubeflow
shaowei-su/scala-archetype-sparkinaction
A simple maven archetype for generating a new Spark 1.6.1 project with Scala 2.10.4
shaowei-su/shaowei-su.github.io
Personal Page
shaowei-su/spark-ml-source-analysis
spark ml 算法原理剖析以及具体的源码实现分析
shaowei-su/spark-workshop
Project to get you prepared software-wise for the Spark Workshop
shaowei-su/stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
shaowei-su/system-design
Preparing for system design interview questions
shaowei-su/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
shaowei-su/tf-operator
Tools for ML/Tensorflow on Kubernetes.
shaowei-su/the-way-to-go_ZH_CN
《The Way to Go》中文译本，中文正式名《Go 入门指南》
shaowei-su/xgboost-predictor-java
Pure Java implementation of XGBoost predictor for online prediction tasks.