vilcek

vilcek's Stars

• iterative/dvc

  🦉 ML Experiments and Data Management with Git

  Language:Python13.7k1.2k

• microsoft/dstoolkit-mlops-v2

  This repository contains the basic repository structure for machine learning projects based on Azure technologies (Azure ML and Azure DevOps).

  Language:Python209

• billxbf/ReWOO

  Decoupling Reasoning from Observations for Efficient Augmented Language Models

  Language:Python87871

• microsoft/synthlume

  Synthetic Q&A generator

  Language:Jupyter Notebook81

• SqueezeAILab/LLMCompiler

  [ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

  Language:Python1.4k105

• disler/multi-agent-postgres-data-analytics

  The way we interact with our data is changing.

  Language:Python762150

• microsoft/responsible-ai-toolbox

  Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

  Language:TypeScript1.4k353

• aibasel/pyperplan

  A lightweight STRIPS planner written in Python.

  Language:PDDL9341

• microsoft/semantic-kernel

  Integrate cutting-edge LLM technology quickly and easily into your apps

  Language:C#21.6k3.2k

• microsoft/promptflow

  Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.

  Language:Python9.3k843

• SimengSun/pearl

  Language:Python474

• microsoft/TaskWeaver

  A code-first agent framework for seamlessly planning and executing data analytics tasks.

  Language:Python5.3k664

• microsoft/rag-experiment-accelerator

  The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

  Language:Python18161

• microsoft/genaiops-promptflow-template

  GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.

  Language:Python252225

• microsoft/mlops-promptflow-prompt

  MLOps for PromptFlow SDK

  Language:Python302

• huggingface/text-generation-inference

  Large Language Model Text Generation Inference

  Language:Python8.9k1k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python28k4.1k

• google-deepmind/opro

  official code for "Large Language Models as Optimizers"

  Language:Python39839

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX58.9k9.4k

• microsoft/autogen

  A programming framework for agentic AI 🤖

  Language:Jupyter Notebook31.7k4.6k

• deepset-ai/haystack

  :mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  Language:Python17k1.9k

• microsoft/OptiGuide

  Large Language Models for Supply Chain Optimization

  Language:Jupyter Notebook30644

• arcee-ai/DALM

  Domain Adapted Language Modeling Toolkit - E2E RAG

  Language:Python30139

• guardrails-ai/guardrails

  Adding guardrails to large language models.

  Language:Python3.9k301

• guidance-ai/guidance

  A guidance language for controlling large language models.

  Language:Jupyter Notebook18.8k1k

• fastai/lm-hackers

  Hackers' Guide to Language Models

  Language:Jupyter Notebook1.8k296

• microsoft/MLOps

  MLOps examples

  Language:Jupyter Notebook1.8k540

• Azure/mlops-v2

  Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

  Language:Shell502249

• microsoft/LMOps

  General technology for enabling AI capabilities w/ LLMs and MLLMs

  Language:Python3.6k275

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.2k5.9k