机器学习 · GitHub

面向桌面的私密本地 AI 助手。支持语音和文字聊天、个人记忆、听写以及 MCP 工具。可通过 Ollama 或兼容 OpenAI 的服务器，在 macOS、Windows 和 Linux 上离线运行。

• A third person in the room. Bring Jarvis into an ongoing conversation with friends, talk through a problem aloud, or ask it to weigh in on a decision. “Jarvis, what do you think?” draws on the recent discussion, not just that one sentence.
• Remember beyond one session. Ask about past conversations, preferences and plans. Browse your local diary and knowledge graph in the Memory Viewer.

基于机器学习的漫画翻译器，使用 Rust 编写。

• Multi-format project management for raster images, archives, and PDFs with page sequencing
• Selective pipeline for detection, OCR, translation, and inpainting at page or project scope

JARVIS：连接 LLM 与机器学习社区的系统。论文：https://arxiv.org/pdf/2303.17580.pdf

一个便于协作的 NeRF 工作室

• Visualize training in real-time + interact with the scene
• Create and render out scenes with custom camera trajectories

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

股票AI操盘手：一站式学习、模拟、实盘平台。涵盖：股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。

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Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort

ECCV2022 - 视频帧插值的实时中间光流估计

SwarmUI（前身为 StableSwarmUI），一款模块化的 Stable Diffusion 网页界面，注重让强大工具易于使用，并兼顾高性能和可扩展性。

邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。

SANA & Sol：用于图像、视频和世界建模的高效生成模型，以及全栈训练与推理引擎

An open-source, tool-augmented conversational language model from Fudan University

人工智能（AI）课程、书籍、视频讲座和论文精选列表。

Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, websockets, optional readalong web UI

使用深度滤波进行噪声抑制

Silero VAD：预训练的企业级语音活动检测器

• Stellar accuracy Silero VAD has excellent results on speech detection tasks.
• Fast One audio chunk (30+ ms) takes less than 1ms to be processed on a single CPU thread. Using batching or GPU can also improve performance considerably. Under certain conditions ONNX may even run up to 4-5x faster.