kukushking's Stars
meta-llama/llama
Inference code for Llama models
ultralytics/ultralytics
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
stanfordnlp/dspy
DSPy: The framework for programming—not prompting—foundation models
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
objective-see/LuLu
LuLu is the free macOS firewall
zilliztech/GPTCache
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
EleutherAI/lm-evaluation-harness
A framework for few-shot evaluation of language models.
aws/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
aws-samples/amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
vectara/hallucination-leaderboard
Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents
ray-project/kuberay
A toolkit to run Ray applications on Kubernetes
awslabs/data-on-eks
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
generative-ai-on-aws/generative-ai-on-aws
Generative AI on AWS
aws-neuron/aws-neuron-sdk
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
aws/aws-lc
AWS-LC is a general-purpose cryptographic library maintained by the AWS Cryptography team for AWS and their customers. It Ń–s based on code from the Google BoringSSL project and the OpenSSL project.
awslabs/generative-ai-cdk-constructs
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
aws-samples/amazon-sagemaker-immersion-day
aws-samples/amazon-bedrock-serverless-prompt-chaining
Build complex, serverless, and highly scalable generative AI applications with prompt chaining.
aws-solutions/mlops-workload-orchestrator
The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.
aws-samples/generative-ai-cdk-constructs-samples
This repo provides sample generative AI stacks built atop the AWS Generative AI CDK Constructs.
aws-samples/aws-samples-for-ray
awslabs/aiops-modules
AIOps modules is a collection of reusable Infrastructure as Code (IaC) modules for Machine Learning (ML), Foundation Models (FM), Large Language Models (LLM) and GenAI development and operations on AWS
aws-samples/mlops-multi-account-terraform
Secure and scalable MLOps platform on AWS using Terraform.
build-on-aws/python-fm-playground
Explore how you can use Amazon Bedrock with Python in a dynamic environment! It includes a FastAPI app and a Next.js frontend, perfect for learning and experimentation with generative AI on AWS.
aws-samples/fm-evaluation-at-scale
ray-project/kuberay-helm
Helm charts for the KubeRay project
aws-samples/amazon-sagemaker-automatic-deploy-mlflow-model
aws-samples/aws-enterprise-mlops-framework
proger/uk4b
GPT-2 Metadata Pretraining Towards Instruction Finetuning for Ukrainian
aws-samples/sagemaker-foundation-model-examples