Pinned Repositories
apache-spark
Apache Spark - A unified analytics engine for large-scale data processing
azure-docs
Open source documentation of Microsoft Azure
azure-sdk-for-java
This repository is for active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/java/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-java.
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
keras
Deep Learning for humans
langchain
⚡ Building applications with LLMs through composability ⚡
mlflow
Open source platform for the machine learning lifecycle
mlflow-hackathon-2023
mlp-regression-template
Example repo to kickstart integration with mlflow pipelines.
serena-ruan's Repositories
serena-ruan/azure-docs
Open source documentation of Microsoft Azure
serena-ruan/mlflow
Open source platform for the machine learning lifecycle
serena-ruan/apache-spark
Apache Spark - A unified analytics engine for large-scale data processing
serena-ruan/azure-sdk-for-java
This repository is for active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/java/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-java.
serena-ruan/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
serena-ruan/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
serena-ruan/keras
Deep Learning for humans
serena-ruan/langchain
⚡ Building applications with LLMs through composability ⚡
serena-ruan/mlflow-hackathon-2023
serena-ruan/mlp-regression-template
Example repo to kickstart integration with mlflow pipelines.
serena-ruan/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
serena-ruan/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
serena-ruan/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.
serena-ruan/reticulate
R Interface to Python
serena-ruan/spark
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
serena-ruan/Synapse
Samples for Azure Synapse Analytics
serena-ruan/SynapseML
Microsoft Machine Learning for Apache Spark
serena-ruan/torchvision
Datasets, Transforms and Models specific to Computer Vision
serena-ruan/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
serena-ruan/unitycatalog-ai