Kronos is an open-source decoder-only foundation model pretrained on financial candlestick (K-line) sequences for market forecasting.
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
Community Blender addon and MCP server that lets an LLM client like Claude control Blender scenes, objects, and modeling via prompts.
Repository for Timestral, the time-series foundation model by Mistral AI
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
:books: Freely available programming books
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
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.
SEO foundation checks as an Agent Skill: give it a URL, get a crawler's-eye pass/fail report with evidence. 26 structural checks, zero LLM, deterministic.
Blur Labs foundation models for imaging
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
No fortress, purely open ground. OpenManus is Coming.
Chronos: Pretrained Models for Time Series Forecasting
Perceptive behavioral foundation models for terrain-adaptive humanoid control: motion tracking, goal reaching, reward inference and teleoperation.
MeshAxiom: An Agent-Native 3D Foundation Stack for Programmable Worlds
Open-source framework for the research and development of foundation models.
XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
Adding guardrails to large language models.
StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing
Central repository for biomolecular foundation models with shared trainers and pipeline components
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.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
OpenSquilla — 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
KiT: A Foundation Model for Financial Time-Series Forecasting using Diffusion Transformers
Code for Test-Time Compute for Humanoid Behavior Foundation Models
Making large AI models cheaper, faster and more accessible
An open source implementation of CLIP.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Accessible large language models via k-bit quantization for PyTorch.
Volatility 3.0 development
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
An Open-World Foundation Model for General-Purpose Embodied Intelligence.
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
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
Python bindings for access to the on-device model at the core of Apple Intelligence through the Foundation Models framework
From Foundation to Application
BFM_Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
A restricted execution environment for Python to run untrusted code.
Just a VLM Agent Can Play Robots
An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving
—
OmniEdu: Open Foundation Models for Learning and Teaching
Agent skills for building iOS apps on iPhone Duo, Apple's first foldable iPhone — adaptive layout, vertical bars, hinge & scenes, camera, and design review.
[SIGGRAPH Asia 2026 (TOG)] PartLLM: A Unified Multimodal Foundation for 3D Part Segmentation
JARVIS AI is an open-source AI assistant built for automation, productivity, and intelligent workflows. Featuring natural conversations, customizable tools, API integrations, memory, and a modern interface, it provides a powerful foundation for building personal assistants, AI agents, and next-generation applications.
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.
A collection of environments for autonomous driving and tactical decision-making tasks