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Tags: Machine learning
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1–16 of 16 · Most stars

World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant into a full video production studio.

TranslatedOpen-source AI short drama and motion comic creation tool with an infinite canvas, AI agents, storyboarding, image and video generation. Self-hosted and extensible, with a canvas-based approach similar to LibTV and TapNow. Additional details from the Chinese text: Toonflow is a tool for making short dramas and motion comics: an open-source AI video creation platform that integrates script writing, intelligent storyboarding, character and scene asset management, image generation and video generation. It combines an infinite canvas, AI Agents and visual workflows, and supports local deployment, a choice of your own models, cross-platform clients, MCP and plugin extensions.

TranslatedA knowledge graph for mathematics (primary school to high school), English (grade 3 to high school), and junior high school physics: 1,644 knowledge points, 2,403 prerequisite edges, and 6,723 questions, aligned with the curriculum standards, with an adaptive prerequisite diagnostic.

  • chinese
  • curriculum
  • diagnostic
  • edtech

A unified, comprehensive and efficient recommendation library

  • recommender-systems
  • collaborative-filtering
  • knowledge-graph
  • ctr-prediction

A knowledge graph and a set of tools for drug repurposing

  • drug-repurposing
  • knowledge-graph
  • graph-neural-networks
  • knowledge-graph-embeddings

TranslatedVibe Knowledge Showcase (Vibe 知识大赏): one knowledge point → one premium short knowledge video with narration and a cited source for every sentence (Claude Code skill · 44 styles · frame-by-frame video rendered with code)

Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.