OpenMOSS/MOSS-Image
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
A star delta has been computed for 61,707 of 62,640 tracked repositories in this period, and only those can be ranked in it.
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Star counts measured between 00:28 and 04:33 (BKK).
Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
A unified framework for training, fine-tuning, and evaluating World Action Models
Chronos: Pretrained Models for Time Series Forecasting
Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷
AuK: An Open-Source Foundational Model for Speech Generation and Editing
Just a VLM Agent Can Play Robots
HoloMotion: A Foundation Model for Whole-Body Humanoid Control
TimeGPT-2.1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density
Swift SDK for running chat, vision and speech models on iPhone and Mac with Apple's Core AI. Model download and caching, FoundationModels integration, and runnable examples with documented OS, SDK and model requirements.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
iOS & watchOS speech-to-text app with AI voice keyboard, on-device RAG, and chat with your notes - powered by Apple Foundation Models, WhisperKit, NVIDIA Parakeet, and 20+ AI providers
Free and fully open-source L2 ADAS stack powered by End-to-End AI technology
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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Type-safe tools, on-device inference, multi-agent workflows, memory, and guardrails, in one Swift-native runtime
A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).
Official Code for "GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training" (ICML 2026) https://arxiv.org/pdf/2602.20399
Images to inference with no labeling (use foundation models to train supervised models).
That's all 22 repositories in this period.