Stars
63 个 Claude Skills，为 A 股金融从业者而生 基于 Anthropic 官方 claude-for-financial-services 深度适配国内市场，现已开源。
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes…
Kronos: A Foundation Model for the Language of Financial Markets
AI agents running research on single-GPU nanochat training automatically
📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
The free build of Claude Code. All telemetry removed, security-prompt guardrails stripped, all experimental features enabled.
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
Runnable ClaudeCode source code
Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Digital Human Resource: 2D/3D/4D Human Modeling, Avatar Generation & Animation, Clothed People Digitalization, Virtual Try-On, etc.
Qwen3-TTS is an open-source series of TTS models developed by the Qwen team at Alibaba Cloud, supporting stable, expressive, and streaming speech generation, free-form voice design, and vivid voice…
An agentic skills framework & software development methodology that works.
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
将 Claude Skills 转化为符合Antigravity的 rule 文件或者 workflow
The demo is student classinfor cap pic video face
Human action classification system with pose-based (MediaPipe) and video-based (3D CNN) models. Features 100+ architectures for real-time pose classification and temporal models pretrained on UCF-1…
ArcFace unofficial Implemented in Tensorflow 2.0+ (ResNet50, MobileNetV2). "ArcFace: Additive Angular Margin Loss for Deep Face Recognition" Published in CVPR 2019. With Colab.
这是一个arcface-pytorch的源码，可以用于训练自己的模型。
Build your own ArcFace, CenterFace/Centernet
TFLite Super Resolution for Android with ESRGAN model, modify from https://github.com/tensorflow/examples/tree/master/lite/examples/super_resolution/android