Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
β‘ TabPFN: Foundation Model for Tabular Data β‘
Chronos: Pretrained Models for Time Series Forecasting
Perceptive behavioral foundation models for terrain-adaptive humanoid control: motion tracking, goal reaching, reward inference and teleoperation.
Adding guardrails to large language models.
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
Iris-3B: pixel-space generation & general vision learner. A 3B diffusion transformer that generates every pixel directly (no VAE); the same prior, fine-tuned, does monocular depth estimation and 4x image restoration. Paper, weights, training code and demo.
Open-source code for training and scaling up energy-based foundation models.
Data processing for and with foundation models! π π π½ β‘οΈ β‘οΈπΈ πΉ π·
OpenSquilla β Token-Efficient AI Agent with same budget, higher intelligence density
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
Making large AI models cheaper, faster and more accessible
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
Just a VLM Agent Can Play Robots
Yug: a foundation model for zero-shot probabilistic time-series forecasting
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
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.
The machine learning toolkit for time series analysis in Python
Images to inference with no labeling (use foundation models to train supervised models).
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
A unified framework for training, fine-tuning, and evaluating World Action Models
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
β
Grounded Action Model: 3D Grounding as a Foundation for Robotics
Kronos AI: Tiny Model That Beats Expensive Trading Bots - Open-source foundation model for financial candlesticks with Ollama Llama 3.2 Indian market analysis.
Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulation (arXiv 2609.01596)
β NeuroAtlas: an EEG foundation-model benchmark across sleep, brain-age, epilepsy and BCI (NeurIPS 2026)