Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
47,133 repositories indexed
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Build, Manage and Deploy AI/ML Systems
The no-magic web API and microservices framework for Python developers, with a focus on reliability and performance at scale.
Open Source HR and Payroll Software
A collection of libraries to optimise AI model performances
A fast PostgreSQL Database Client Library for Python/asyncio.
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
High-performance TensorFlow library for quantitative finance.
A high performance offensive security tool for reconnaissance and vulnerability scanning
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
High performance datastore for time series and tick data
Load and performance benchmark tool
Automation-friendly framework for Continuous Testing by
A set of documented functions for simulating the performance of photovoltaic energy systems.
📱 Andriller - is software utility with a collection of forensic tools for smartphones. It performs read-only, forensically sound, non-destructive acquisition from Android devices.
Creates standalone executables from Python scripts with the same performance as the original script. It is cross-platform and should work on any platform that Python runs on.
Common financial risk and performance metrics. Used by zipline and pyfolio.
A virtual host scanner that performs reverse lookups, can be used with pivot tools, detect catch-all scenarios, work around wildcards, aliases and dynamic default pages.
A neovim plugin for interactively running code with the jupyter kernel. Fork of magma-nvim with improvements in image rendering, performance, and more
Cython implementation of Toolz: High performance functional utilities
Python Performance Benchmark Suite
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
OpenFE: automated feature generation with expert-level performance
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.