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The open source Cloud & Edge Computing Platform bringing real freedom to your Enterprise Cloud 🚀
"Your Fully-Automated Personal AI Assistant"
MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
OpenF1 API - Real-time and historical Formula 1 data
An extensible and friendly code review tool for projects and companies of all sizes.
The good ol' Forge WebUI, now updated with new features~
Compiles a demonstrated GUI task into a program that reports VERIFIED only if an independent check agrees. pip install openadapt; openadapt flow tutorial. Compiler lives in openadapt-flow.
Lightweight and extensible compatibility layer between dataframe libraries!
text window manager, shell multiplexer, integrated DevOps environment
RPyC (Remote Python Call) - A transparent and symmetric RPC library for python
Real-time video and audio processing on Streamlit
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
Continual learning infra for self-improving agents
Automated Machine Learning on Kubernetes
Python audio and music signal processing library
MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS
🎞️ Subtitles generation tool (Web-UI + CLI + Python package) powered by OpenAI's Whisper and its variants 🎞️
A distributed task scheduler for Dask
BirdNET analyzer for scientific audio data processing.
No description.
Draw datasets from within Python notebooks.
Export Django monitoring metrics for Prometheus.io
Machine learning with dataframes
Hyper-parameter optimization for sklearn
Hyperparameter Experiments with TensorFlow and Keras
A fast and lightweight framework for creating decentralized agents with ease.
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.
Reference implementations of MLPerf® inference benchmarks