Implementation of Non-local Block.
-
Updated
Apr 12, 2023 - Python
Implementation of Non-local Block.
PyTorch Project Specification.
Microsoft Automatic Mixed Precision Library
Reusable skills and steering that teach AI coding agents how to apply the AWS Well-Architected Framework. One set of playbooks, 14 supported tools.
STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)
Server-side video workflows for agents: ingest, understand, search, edit, stream.
An IsaacLab DirectEnv for basic quadrupedal locomotion tasks, with support for multiple quadruped robots, sim-to-sim, and sim-to-real pipelines
Expert SurrealDB 3 skill for AI coding agents (Claude, Codex, Amp, Gemini CLI, Copilot, Cursor). SurrealQL, multi-model data modeling, graph queries, vector search, WASM extensions, and full ecosystem.
A tool for controlling the MoonDrop Dawn Pro DAC/AMP
An Integration for the Monoprice 6 Zone Home Audio Controller, with added sensors, sound mode, balance, treble & bass support.
A lightweight and extensible toolbox for image classification and MORE
AMP-based quadruped locomotion framework on Isaac Lab
Server-side rendering for AMP in Python
Pytorch ImageNet training codes with various tricks, lr schedulers, distributed training, mixed precision training, DALI dataloader etc.
A composable GitHub Action that integrates with AI agents like Cursor CLI, Claude Code, Gemini CLI, Codex CLI, and Amp Code to run prompts on a repository as part of Pull Request workflows.
One behavior ruleset for every coding agent on your machine. Kills chaotic, filler, hype adjectives and AI slop, and enforces plain technical English based on ASD-STE100.
To associate your repository with the amp topic, visit your repo's landing page and select "manage topics."