Lists (15)
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Python client for Qdrant vector search engine
The AI that really does things. Any OS. Any Platform. The lobster way. 🦞
Official Rust implementation of Apache Arrow
IronClaw is an Agent OS focused on privacy, security and extensibility
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.
DeepSeek Harness: Everything is a Plugin.
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.
Your AI workspace for models, agents, and productivity.
An open-source coding agent for your terminal, written in Rust. It works with any model, can split one task across several agents, and every line of it is yours to read.
Machine Learning Q and AI book
Memos is an open-source, self-hosted note-taking app that brings your everyday thoughts together in a personal timeline. Your data stays yours, and you choose what to keep private or share.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
SGLang is a high-performance serving framework for large language models and multimodal models.
SRGDiff: a step-aware residual-guided diffusion model for EEG spatial super-resolution. It learns dynamic, step-wise residual conditions from low-density EEG to steer denoising and recover high-den…
Reference and an example for the Bluetooth API for makers in Claude Cowork & Claude Code Desktop
Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
This dataset contains over 3800 high-resolution images of surface defects on wind turbine blades with diverse and diverse backgrounds. The dataset is generated by fusing StyleGAN3 deep learning mod…
Data and code for NeurIPS 2022 Paper "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering".