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AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
A CLI tool and go library which recommends instance types based on resource criteria like vcpus and memory
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
[Node, Python, Java] Repository of sample Custom Rules for AWS Config.
Nuke a whole AWS account and delete all its resources.
Prevent cloud misconfigurations and find vulnerabilities during build-time in infrastructure as code, container images and open source packages with Checkov by Bridgecrew.
Terratest is a Go library that makes it easier to write automated tests for your infrastructure code.
The AWS Provider enables Terraform to manage AWS resources.
OpenTofu lets you declaratively manage your cloud infrastructure.
Repository contains reference and sample templates in support of establishing your AWS cloud foundation
Create secure authentication forms for your Streamlit apps - in one-line of code!
Secure open source cloud runtime for AI apps & AI agents
Automated deployment and testing for AWS Service Control Policies
🪢 Open source LLM engineering platform: Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
🛏 An HTML to Markdown converter written in JavaScript
Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
Generate an IAM policy from AWS, Azure, or Google Cloud (GCP) calls using client-side monitoring (CSM) or embedded proxy
A Central Control Plane for AWS Permissions and Access
Identity & Access Management simplified and secure.
A framework for few-shot evaluation of language models.
Code repo for the ICML 2024 paper "Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation"
A modular graph-based Retrieval-Augmented Generation (RAG) system
No-code LLM Platform to launch APIs and ETL Pipelines to structure unstructured documents
Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Convert Compute And Books Into Instruct-Tuning Datasets (or classifiers)!