Kronos: A Foundation Model for the Language of Financial Markets
Training-free language model modification: Remove censorship, suppress slop, reduce sycophancy, and more
DeepInfer: High-performance, large-scale inference framework for DeepSeek models
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.
SGLang is a high-performance serving framework for large language models and multimodal models.
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.
An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Speech-to-text, text-to-speech, speaker diarization, speech enhancement, source separation, and VAD using next-gen Kaldi with onnxruntime without Internet connection. Support embedded systems, Android, iOS, HarmonyOS, Raspberry Pi, RISC-V, RK NPU, Axera NPU, Ascend NPU, x86_64 servers, websocket server/client, support 12 programming languages
Wan: Open and Advanced Large-Scale Video Generative Models
🦀 Jumper — an crab robot.
A high-performance inference engine for AI models
斑海豹 — Phocinae-Largha-150M-v1: a 144.3M bilingual decision model. Tiny model. Big decisions. 小海豹,大决断。
Graph-Native Infrastructure for Context and Accountable AI Systems
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.
FinRL®: Financial Reinforcement Learning. 🔥
We write your reusable computer vision tools. 💜
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
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.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Lux is an open-source framework for building multi-agent, swarmed intelligence built by Spectral Labs. With Beams, Prisms, Lenses, and Signals, it orchestrates AI-driven workflows to create truly autonomous organizations.
[ECCV 2024] SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM