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28A high-throughput and memory-efficient inference and serving engine for LLMs
LEAKED SYSTEM PROMPTS FOR CHATGPT, GEMINI, GROK, CLAUDE, PERPLEXITY, CURSOR, DEVIN, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐
Repo for code gen
This package is used to learn the basics of ml from engineering prespective
Bootstrap Kubernetes the hard way on Vagrant on Local Machine. No scripts.
learning
A library for training and deploying machine learning models on Amazon SageMaker
A set of Docker images that include popular frameworks for machine learning, data science and visualization.
LangServe 🦜️🏓
⚡ Building applications with LLMs through composability ⚡
No description provided.
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.
No description provided.
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Scalable user load testing tool written in Python
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
No description provided.
PMIx master repository
Open MPI main development repository
cfncluster-node is the python package installed on the Amazon EC2 instances launched as part of CfnCluster
The Chef cookbook used to build and bootstrap CfnCluster
CfnCluster is a framework that deploys and maintains HPC clusters on AWS.
A set of examples that uses Libfabric
Open Fabric Interfaces
OFI Programmer's Guide
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
MPI Testing Tool