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Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel
Distributed ML Training and Fine-Tuning on Kubernetes
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Machine Learning Toolkit for Kubernetes
Integrate cutting-edge LLM technology quickly and easily into your apps
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Examples for https://github.com/optuna/optuna
AirLLM 70B inference with single 4GB GPU
Automated Machine Learning with scikit-learn
pyenv for Windows. pyenv is a simple python version management tool. It lets you easily switch between multiple versions of Python. It's simple, unobtrusive, and follows the UNIX tradition of singl…
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A game theoretic approach to explain the output of any machine learning model.
Algorithms for explaining machine learning models
📚 Parameterize, execute, and analyze notebooks
A curated list of awesome responsible machine learning resources.
Lime: Explaining the predictions of any machine learning classifier
A modular graph-based Retrieval-Augmented Generation (RAG) system
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & C…
Scalable machine 🤖 learning for time series forecasting.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Typer, build great CLIs. Easy to code. Based on Python type hints.
