Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
Making large AI models cheaper, faster and more accessible
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
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OpenSquilla β Token-Efficient AI Agent with same budget, higher intelligence density
Chronos: Pretrained Models for Time Series Forecasting
The machine learning toolkit for time series analysis in Python
Images to inference with no labeling (use foundation models to train supervised models).
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
AuK: An Open-Source Foundational Model for Speech Generation and Editing
TabICLv2: An open tabular foundation model
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
Implementation of the Aurora model for Earth system forecasting
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
HoloMotion: A Foundation Model for Whole-Body Humanoid Control
Toolkit for large-scale whole-slide image processing.
Liquid Audio - Speech-to-Speech audio models by Liquid AI
Just a VLM Agent Can Play Robots
A unified framework for training, fine-tuning, and evaluating World Action Models
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
Open-source code for training and scaling up energy-based foundation models.
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
Perceptive behavioral foundation models for terrain-adaptive humanoid control: motion tracking, goal reaching, reward inference and teleoperation.
Yug: a foundation model for zero-shot probabilistic time-series forecasting
Grounded Action Model: 3D Grounding as a Foundation for Robotics
Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation (arXiv 2609.01596)