Tag: #computer-vision
11 packages • ⭐ 6,829 total stars
【三年面试五年模拟】AIGC算法工程师面试秘籍。涵盖AIGC、LLM大模型、AI Agent、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、强化学习、大数据挖掘、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。
Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.
OpenAI and Anthropic compatible server for Apple Silicon. Run LLMs and vision-language models (Llama, Qwen-VL, LLaVA) with continuous batching, MCP tool calling, and multimodal support. Native MLX bac
AI Productivity Tool - Free and open source, improve user productivity, and protect privacy and data security. Including but not limited to: built-in local exclusive ChatGPT, DeepSeek, Phi, Qwen and o
The video search layer for AI agents. Search video by meaning — across speech, visuals, and on-screen text.
Open-source AI coding agent. Desktop app, bring your own model. Writes code, browses the web, verifies its work. Apache 2.0.
RAPTOR (Robust AI-Powered Toolkit for Operational Robots) is an AI-native Content Insight Engine that transforms passive media storage into an intelligent knowledge platform through automated analysis
Computer use Docker Player (LLM Research)
Convert any URL into LLM-friendly formats using a lightweight CLI tool for reading and searching web content efficiently.
Builds an autonomous AI robot with vision, voice, and decision-making capabilities using Python, PyTorch, and CUDA technology.
A modular deep learning framework for training and evaluating image classification models on datasets like CIFAR-10 and MNIST. Supports configurable CNN architectures, automated training, and performa