konradsemsch's Stars
Significant-Gravitas/AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
langchain-ai/langchain
🦜🔗 Build context-aware reasoning applications
openai/openai-cookbook
Examples and guides for using the OpenAI API
OpenInterpreter/open-interpreter
A natural language interface for computers
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
freqtrade/freqtrade
Free, open source crypto trading bot
openai/chatgpt-retrieval-plugin
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
mlc-ai/mlc-llm
Universal LLM Deployment Engine with ML Compilation
ShishirPatil/gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Mooler0410/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
aws-samples/aws-cdk-examples
Example projects using the AWS CDK
aws/deep-learning-containers
AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.
goldmann/docker-squash
Docker image squashing tool
aws-samples/amazon-personalize-samples
Notebooks and examples on how to onboard and use various features of Amazon Personalize
aws-samples/amazon-forecast-samples
Notebooks and examples on how to onboard and use various features of Amazon Forecast.
aws-samples/amazon-sagemaker-from-idea-to-production
aws/sagemaker-containers
WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkit for model serving.
aws-samples/aws-analytics-reference-architecture
aws-samples/emr-serverless-samples
Example code for running Spark and Hive jobs on EMR Serverless.
aws-samples/sagemaker-studio-auto-shutdown-extension
aws-samples/amazon-sagemaker-feature-store-end-to-end-workshop
aws/aws-emr-best-practices
A best practices guide for using AWS EMR. The guide will cover best practices on the topics of cost, performance, security, operational excellence, reliability and application specific best practices across Spark, Hive, Hudi, Hbase and more.
aws-samples/sagemaker-studio-image-build-cli
CLI for building Docker images in SageMaker Studio using AWS CodeBuild.
aws-samples/personalization-apis
Real-time low latency API framework that sits between your applications and recommender systems such as Amazon Personalize
Ernyoke/certified-aws-advanced-networking-specialty
aws-samples/amazon-personalize-immersion-day
aws-samples/amazon-personalize-monitor
Monitor, alert, and optimize your Amazon Personalize deployments
aws-samples/serverless-datalake
Serverless Datalake architecture
aws-samples/amazon-sagemaker-mlops-for-migrating-custom-machinelearning-code