p-e-w / heretic
Training-free language model modification: Remove censorship, suppress slop, reduce sycophancy, and more
p-e-w / heretic
shiyu-coder / Kronos
Kronos: A Foundation Model for the Language of Financial Markets
deepseek-ai / DeepInfer
DeepInfer: High-performance, large-scale inference framework for DeepSeek models
bytedance / deer-flow
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
sgl-project / sglang
SGLang is a high-performance serving framework for large language models and multimodal models.
microsoft / qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
ultralytics / ultralytics
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 β object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Wan-Video / Wan2.2
Wan: Open and Advanced Large-Scale Video Generative Models
Phocinae / Phocinae-Largha-150M-v1
ζζ΅·θ±Ή β Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. ε°ζ΅·θ±ΉοΌε€§ε³ζγ
KingKongRobotics / jumper
π¦ Jumper β an crab robot.
semantica-agi / semantica
Graph-Native Infrastructure for Context and Accountable AI Systems
mlflow / mlflow
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
roboflow / supervision
We write your reusable computer vision tools. π
eriklindernoren / ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.