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Tags: Machine learning
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1–24 of 35 · Most stars

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

TranslatedNetflix-level subtitle cutting, translation, alignment, and even dubbing - one-click fully automated AI video subtitle team

CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice cloning.

Module for automatic summarization of text documents and HTML pages.

  • python
  • lsa
  • textteaser
  • html-page

An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.

  • evolutionary-algorithms
  • rsi-ai
  • self-improvement
  • llm-agent

WeVisOne-VL is a powerful VLM by the WeChat Vision Team at Tencent, unifying object-level and pixel-level perception from points and boxes to masks and alpha mattes.

TranslatedMG animation video skill, Douyin viral Vibe knowledge showcase short films, with automatic sound effects and one-click video output. Illustrated explainer video skill — turns an explanation script into an explainer video with "hand-drawn, moving visuals". Graphics are drawn stroke by stroke by code, text is written character by character, and the drawing follows what is being said. Five styles to choose from, rendered in local Chrome, zero image-generation API cost, and any change re-renders within seconds.

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models