The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
Repository Index
47,133 repositories indexed
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🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
- python
- text-to-speech
- deep-learning
- speech
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers
- quiz-questions
- answers
- assessment
MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
- mnn
- convolution
- vulkan
- embedded-devices
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
A well tested and comprehensive Golang statistics library package with no dependencies.
- statistics
- data
- stats
- machine-learning
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
- asset-allocation
- portfolio
- portfolio-optimization
- quantitative-finance
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
- high-frequency-trading
- limit-order-book
- python
- machine-learning
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
- forecasting
- scikit-learn
- machine-learning
- python
Hercules is the world’s first open-source testing agent, enabling UI, API, Security, Accessibility, and Visual validations – all without code or maintenance. Automate testing effortlessly and let Hercules handle the heavy lifting! ⚡
- ai
- autogen
- automation
- browser
Scalable, event-driven, deep-learning-friendly backtesting library
- reinforcement-learning
- deep-reinforcement-learning
- gym-environment
- openai-gym
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
- speech-recognition
- python
- feature-extraction
- speechpy
Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.
TestDino Playwright Skill: AI-powered guides for Playwright best practices, made by testdino.com.
- ai
- ai-skills
- antigravity-skills
- claude-skills
AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Automated Testing for Set-Top Boxes and Smart TVs
- python
- test-automation
- set-top-box
- remote-control
Trading environnement for RL agents, backtesting and training.
- trading
- backtesting
- reinforcement-learning-agent
- reinforcement-learning
Kraken CI is a continuous integration and testing system.
- continuous-integration
- continuous-testing
- build-automation
- testing
Latest hashcat docker for CUDA, OpenCL, and POCL. Deployed on Vast.ai
A Macau food recommendation Agent built on Thompson Sampling + StackedPareto weight fusion, with a full evaluation pipeline (5-fold CV, bootstrap CIs, stress tests) on 5,000 simulated users and 100k interactions. Competition entry for the QwenPaw AI Developer Challenge.