Ears for coding agents: let AI hear, review and make sound. CPU-only, open source.
Global
#666 · +55 · 1d ·GitHub
The world's first completely free and open-source face recognition SDK for Windows and Linux from Faceplugin
Open-source State-of-the-art TTS model which runs on a CPU 😻
#1630 · +19 · 1d ·GitHub
24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
jevos: an open-source alternative to Jev and Microsoft-Decision-1. Yes/no decisions, choices and scores with probabilities, on your laptop's CPU.
9 million parameter language model that generates text on an ESP32-S3 microcontroller. 88 tokens per second on a small screen wired to the chip. It fits because most of the model lives in flash instead of RAM, using Per-Layer Embeddings, an idea from Google's Gemma 3n.
#3350 · +6 · 1d ·GitHub
AI and the OpenMOSS team. 1B parameters, it is designed for realtime speech generation, can run directly on CPU without a GPU, and keeps the deployment stack simple enough for local demos, web serving, and lightweight product integration.
\janas-chat. 8 times as fast with the dense model (Qwen3-4B 346 tok/s against 193), whose whole blocks go to the GPU, through Intel's own Windows driver there.
5, designed for one-pass typed decisions with calibrated probabilities.
#5619 · +1 · 1d ·GitHub
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
ChatGLM3 开源模型旨在与开源社区一起推动大模型技术发展，恳请开发者和大家遵守 开源协议 ，勿将开源模型和代码及基于开源项目产生的衍生物用于任何可能给国家和社会带来危害的用途以及用于任何未经过安全评估和备案的服务。目前，本项目团队未基于 ChatGLM3 开源模型开发任何应用，包括网页端、安卓、苹果 iOS 及 Windows App 等应用。
#8683 · +0 · 1d ·GitHub
A lightweight, polished AI-assisted interactive annotation tool for object detection and instance segmentation.