Open Source AI Platform - AI Chat with advanced features that works with every LLM
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Unofficial Python API and agentic skill for Google Gemini Notebook. Full programmatic access to Gemini Notebook's features—including capabilities the web UI doesn't expose—via Python, CLI, and AI agents like Claude Code, Codex, and OpenClaw.
- python
- sdk
- skills
- google-notebooklm
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
- agentneo
- agents
- ai-performance-optimization
- llm-testing
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
GEF (GDB Enhanced Features) - a modern experience for GDB with advanced debugging capabilities for exploit devs & reverse engineers on Linux
The Open Source Feature Store for AI/ML
- machine-learning
- features
- ml
- big-data
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
- openstreetmap
- gis
- street-networks
- overpass-api
Asynchronous Python framework for event-driven services. A thin client for Kafka, RabbitMQ, NATS, Redis and MQTT with full access to native broker features, plus AsyncAPI docs, in-memory tests and observability out of the box.
A plugin for AI coding agents (Antigravity, Claude Code) enabling Spec-Driven Development to specify, plan, and implement software features.
- gemini
- antigravity
- antigravity-cli
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
- opencv
- multithreading
- python
- video-processing
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
- nvr
- network-video-capture
- network-video-recorder
- tensorflow
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
- 3d-reconstruction
- depth-prediction
- feature-matching
- global-features
Useful extensions to the standard Python datetime features
- python
- datetime
- time
- timezones
This library provides common speech features for ASR including MFCCs and filterbank energies.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
Train a deep learning net with OpenStreetMap features and satellite imagery.
Fuzzy abbreviations, support for preprocessors (Sass, Less, Stylus) and a lot of other features in easily configurable set of tools for writing CSS faster
- sublime-text-3
- sublime-package
- snippets
- abbreviations
Nimfa: Nonnegative matrix factorization in Python
- matrix-factorization
- latent-features
- latent-variable-models
- nonnegative-matrix-factorization
v1.2 - UI tool for manage Espressif ESP32 microcontrollers with embedded MicroPython for MacOS, Windows and Linux: mini IDE, files manager, REPL, real time dashboards (sys/net), advanced features (gpio/mp3/leds/...)
:sound: spafe: Simplified Python Audio Features Extraction
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
A framework for automated extraction of static and dynamic features from Android applications
- android-malware-detection
- android-analysis