OpenMMLab Pose Estimation Toolbox and Benchmark.
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Updated
Aug 4, 2025 - Python
OpenMMLab Pose Estimation Toolbox and Benchmark.
Z80-μLM is a 2-bit quantized language model small enough to run on an 8-bit Z80 processor. Train conversational models in Python, export them as CP/M .COM binaries, and chat with your vintage computer.
Multi-model DAG-driven parallel AI film generation — parallel speedup scales with scene independence; Generate film scenes simultaneously instead of one by one; "把影视生成的执行图从拓扑序变成关键路径最优调度" ; 唯一把场景叙事依赖建模为 DAG、以 CPM 算法驱动并行调度的影视生成引擎
💅 Stylize your code! Automatic clang-format and cmake-format targets for CMake.
Convolutional Pose Machine tensorflow implementation
This project shows the area division process in Multi-Agent exploration using Cyclic Gradient Descent and also how Cooperative Perceptional Messages are used in V2V communication to share information among agents in about the environment.
Convolutional Pose Machines (CPM) in Pytorch
GMC-320 Radiation Detector Python Utility
Notes and simulations on modulations at the waveform level
Unpacker for CP/M compression and archive formats (LBR, ARC, squeeze, crunch, CrLZH) - Python and native CP/M versions
Convolutional Pose Machines in lower end devices
This is the Model Context Protocol (MCP) Server for P6 XER files, exposes machine-readable MCP manifests for PyP6XER's modules for use by AI models.
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