Repository History
311 repositories tagged with Python
JARVIS: Connecting LLMs with the ML Community for AGI Exploration
JARVIS is an innovative system developed by Microsoft that aims to bridge Large Language Models (LLMs) with the broader Machine Learning community. It serves as a collaborative platform, using an LLM as a controller to orchestrate numerous expert models from Hugging Face Hub, thereby facilitating the exploration of Artificial General Intelligence (AGI) and solving complex AI tasks. This system streamlines the process of task planning, model selection, execution, and response generation.
CellProfiler: Open-Source Software for Biological Image Analysis
CellProfiler is a powerful, free, and open-source application designed for biological image analysis. It empowers biologists without programming expertise to quantitatively measure phenotypes from thousands of images automatically. This tool simplifies complex image processing tasks, making advanced analysis accessible to a broader scientific community.
Open Deep Research: A Configurable Open-Source Deep Research Agent
Open Deep Research is a fully open-source, configurable agent designed for deep research applications. It supports various model providers, search tools, and Model Context Protocol (MCP) servers, offering performance comparable to other popular deep research agents. Developed by LangChain, it leverages LangGraph for robust agent orchestration and provides extensive customization options.
waymore: Advanced URL and Archived Response Collection for Reconnaissance
waymore is a powerful Python tool designed to find an extensive collection of URLs from various web archiving and intelligence sources. Unlike other tools, it can also download archived responses, allowing for deeper analysis and discovery of hidden links or parameters. This makes waymore an essential asset for bug bounty hunters and security researchers focused on comprehensive reconnaissance.
fastFM: A High-Performance Python Library for Factorization Machines
fastFM is a powerful Python library designed for Factorization Machines, offering high-performance implementations of various optimization routines. It integrates seamlessly with the scikit-learn API, making it accessible for machine learning practitioners. The library supports regression, classification, and ranking problems, leveraging C and Cython for speed-critical operations.
LLMGym: A Unified Environment for LLM Agent Development and Benchmarking
LLMGym is a unified environment interface designed for developing and benchmarking LLM applications that learn from feedback. It provides a suite of seamlessly swappable environments, making fair and comprehensive comparisons easier for researchers and developers. This project aims to be the "gym" for LLM agents, offering an intuitive interface for various tasks.
immich-drop: A Zero-Login Web App for Collecting Photos to Immich
immich-drop is a lightweight web application designed to simplify collecting photos and videos from various sources directly into your Immich server. It provides a secure, zero-login interface for guests to upload media via invite links, ensuring privacy and efficient organization. This tool is ideal for anyone looking to gather media from friends, family, or events without requiring them to have an Immich account.
pylibmc: A Fast Python Client for Memcached
pylibmc is a high-performance Python client for Memcached, implemented as a C wrapper around the libmemcached interface. It offers efficient data caching, Python 2.x and 3.x interoperability, and robust handling of various data types, making it a reliable choice for applications requiring fast memory caching.
Qwen3: Alibaba Cloud's Advanced Large Language Model Series
Qwen3 is a powerful series of large language models developed by the Qwen team at Alibaba Cloud. It offers advanced capabilities in reasoning, multilingual support, and long-context understanding, available in various sizes and modes for diverse applications. This repository provides comprehensive resources for running, deploying, and building with Qwen3 models.
AI-Scientist-v2: Automated Scientific Discovery via Agentic Tree Search
AI-Scientist-v2 is an advanced agentic system designed for automated scientific discovery, capable of generating hypotheses, running experiments, analyzing data, and writing scientific manuscripts. This system has successfully produced the first workshop paper written entirely by AI and accepted through peer review, marking a significant step towards fully autonomous research.
PyTorch Image Models (timm): The Ultimate Collection of Image Encoders
PyTorch Image Models (timm) is an extensive library offering the largest collection of PyTorch image encoders and backbones. It provides a wide array of state-of-the-art models, complete with pretrained weights, training, evaluation, and inference scripts. This makes it an invaluable resource for researchers and developers working with computer vision tasks in PyTorch.
Kapre: Keras Audio Preprocessors for Real-time GPU Processing
Kapre is a powerful Python library that provides Keras layers for real-time audio preprocessing directly on GPUs. It enables efficient computation of STFT, Melspectrograms, and other audio features within your deep learning models. This integration simplifies model deployment, allows for DSP parameter optimization, and ensures consistency compared to traditional pre-computation or custom implementations.