Repository History

234 repositories tagged with Python

Topic: Python
FlashAttention: Fast and Memory-Efficient Exact Attention

FlashAttention: Fast and Memory-Efficient Exact Attention

FlashAttention is a cutting-edge library from Dao-AILab, designed to provide fast and memory-efficient exact attention for deep learning models. It significantly accelerates transformer training and inference by optimizing memory usage and computational speed. This makes it an essential tool for researchers and developers working with large-scale AI models.

Analyzed Feb 18, 2026
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Huey: A Lightweight Python Task Queue for Redis, SQLite, and More

Huey: A Lightweight Python Task Queue for Redis, SQLite, and More

Huey is a lightweight and simple Python task queue designed for various storage backends like Redis, SQLite, or in-memory. It provides a clean API for scheduling tasks, retrying failures, managing recurring jobs, and executing them efficiently across multiple processes, threads, or greenlets. This library offers a robust solution for asynchronous task management in Python applications.

Analyzed Feb 17, 2026
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responses: Mocking Python Requests for Robust Testing

responses: Mocking Python Requests for Robust Testing

responses is a Python library designed to simplify the process of mocking the `requests` library during testing. It allows developers to define predictable HTTP responses, enabling isolated and reliable unit tests for applications that interact with external APIs. This utility is essential for ensuring test stability and speed by avoiding actual network calls.

Analyzed Feb 17, 2026
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Cheshire Cat AI Core: An AI Agent Microservice Framework

Cheshire Cat AI Core: An AI Agent Microservice Framework

Cheshire Cat AI Core is an open-source framework designed for building custom AI agents as microservices. It offers an API-first approach, enabling easy integration of conversational layers into applications with WebSocket chat and a customizable REST API. Key features include built-in RAG with Qdrant, extensibility via plugins, function calling, and full Dockerization for straightforward deployment.

Analyzed Feb 15, 2026
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Verifiers: Environments for LLM Reinforcement Learning and Evaluation

Verifiers: Environments for LLM Reinforcement Learning and Evaluation

Verifiers is a Python library by Prime Intellect AI for building environments to train and evaluate Large Language Models (LLMs). It enables the creation of custom environments with datasets, model harnesses, and reward functions, supporting reinforcement learning, capability evaluation, and synthetic data generation. This library is tightly integrated with the Prime Intellect ecosystem, including their Environments Hub and training framework.

Analyzed Feb 14, 2026
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gaussian-splatting: Real-Time 3D Radiance Field Rendering

gaussian-splatting: Real-Time 3D Radiance Field Rendering

gaussian-splatting is the original reference implementation for real-time radiance field rendering. This repository introduces a novel approach using 3D Gaussians for high-quality, real-time novel-view synthesis at 1080p resolution, offering significant advancements in computer graphics and vision. Developed by GRAPHDECO Inria, it provides a robust framework for 3D scene reconstruction and interactive visualization.

Analyzed Feb 13, 2026
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LLMSanitize: An Open-Source Library for Contamination Detection in NLP and LLM Datasets

LLMSanitize: An Open-Source Library for Contamination Detection in NLP and LLM Datasets

LLMSanitize is an open-source Python library designed for detecting contamination in NLP datasets and Large Language Models (LLMs). It offers a comprehensive suite of methods, ranging from string matching to model likelihood and embedding similarity, to ensure data integrity. This tool is crucial for researchers and developers working with LLMs to maintain the reliability of their models and evaluations.

Analyzed Feb 9, 2026
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files-to-prompt: Concatenate Files into a Single Prompt for LLMs

files-to-prompt: Concatenate Files into a Single Prompt for LLMs

files-to-prompt is a command-line tool designed to concatenate the contents of multiple files from a directory into a single, structured prompt suitable for Large Language Models (LLMs). It offers flexible options for filtering files by extension, ignoring patterns, and supports various output formats including standard text, Claude XML, and Markdown. This utility streamlines the process of preparing complex codebases or documentation for AI analysis.

Analyzed Feb 7, 2026
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android-mcp-server: Programmatic Android Device Control via ADB

android-mcp-server: Programmatic Android Device Control via ADB

The android-mcp-server is a Python-based Model Context Protocol (MCP) server designed to offer programmatic control over Android devices using ADB. It enables advanced device management capabilities, including screenshot capture, UI layout analysis, and package management. This server integrates seamlessly with MCP clients like Claude Desktop, providing a powerful tool for developers and automation enthusiasts.

Analyzed Feb 7, 2026
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Dagster: An Orchestration Platform for Data Assets

Dagster: An Orchestration Platform for Data Assets

Dagster is a powerful open-source orchestration platform designed for the development, production, and observation of data assets. It provides a unified programming model for building and managing data pipelines, making it easier to define, test, and deploy complex data workflows. This platform supports various data engineering, analytics, and machine learning operations.

Analyzed Feb 6, 2026
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FBI_Watchdog: Real-time OSINT for Domain Seizures and DNS Monitoring

FBI_Watchdog: Real-time OSINT for Domain Seizures and DNS Monitoring

FBI_Watchdog is a powerful OSINT tool designed for real-time monitoring of domain DNS changes and law enforcement seizures. It provides instant alerts via Telegram and Discord, capturing screenshots of affected sites. This Python-based project helps users stay informed about critical domain modifications and takedowns.

Analyzed Feb 4, 2026
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QuantStats: Powerful Python Library for Portfolio Analytics

QuantStats: Powerful Python Library for Portfolio Analytics

QuantStats is a comprehensive Python library designed for portfolio profiling, offering in-depth analytics and risk metrics for quants and portfolio managers. It helps users better understand their investment performance through robust statistical analysis and powerful visualization tools. This library simplifies the process of generating detailed performance reports and conducting advanced quantitative analysis.

Analyzed Feb 4, 2026
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