Pinned Repositories
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
cfncluster
CfnCluster is a framework that deploys and maintains HPC clusters on AWS.
cfncluster-cookbook
The Chef cookbook used to build and bootstrap CfnCluster
cfncluster-node
cfncluster-node is the python package installed on the Amazon EC2 instances launched as part of CfnCluster
deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
langchain
⚡ Building applications with LLMs through composability ⚡
mohanasudhan's Repositories
mohanasudhan/amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
mohanasudhan/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
mohanasudhan/cfncluster
CfnCluster is a framework that deploys and maintains HPC clusters on AWS.
mohanasudhan/cfncluster-cookbook
The Chef cookbook used to build and bootstrap CfnCluster
mohanasudhan/cfncluster-node
cfncluster-node is the python package installed on the Amazon EC2 instances launched as part of CfnCluster
mohanasudhan/deep-learning-containers
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
mohanasudhan/fabtests
A set of examples that uses Libfabric
mohanasudhan/FunPrograms
mohanasudhan/langchain
⚡ Building applications with LLMs through composability ⚡
mohanasudhan/libfabric
Open Fabric Interfaces
mohanasudhan/locust
Scalable user load testing tool written in Python
mohanasudhan/ompi
Open MPI main development repository
mohanasudhan/k8s-learn
learning
mohanasudhan/kubernetes-the-hard-way
Bootstrap Kubernetes the hard way on Vagrant on Local Machine. No scripts.
mohanasudhan/langserve
LangServe 🦜️🏓
mohanasudhan/ml-eng
This package is used to learn the basics of ml from engineering prespective
mohanasudhan/mpi
mohanasudhan/mtt
MPI Testing Tool
mohanasudhan/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
mohanasudhan/ofi-guide
OFI Programmer's Guide
mohanasudhan/pmix
PMIx master repository
mohanasudhan/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.
mohanasudhan/ray-files
mohanasudhan/sagemaker-distribution
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
mohanasudhan/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker