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A PyTorch Implementation of Feature Boosting and Suppression
nix configurations for daily life
this repo is for Grand Challenge WSSS4LUAD, detail information about the contest is on https://wsss4luad.grand-challenge.org/WSSS4LUAD/
A fork of the lightning fast C++/CUDA neural network framework which uses FLOAT32 all the time.
Mirror site of Mikan using Workers
Mirror of docker registries using cloudflare workers.
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A fork of oh-my-claudecode
The first multiplayer video world model in Minecraft
nix configurations for daily life
Complete Claude Code configuration collection - agents, skills, hooks, commands, rules, MCPs. Battle-tested configs from an Anthropic hackathon winner.
Check all your AI subscription quotas in one command. Supports OpenAI, Zhipu AI, and Google Antigravity. More platforms coming soon. Forked from https://github.com/vbgate/opencode-mystatus
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Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
Fully cross platform dotfile manager and dev environment bootstrapper written in Rust.
A PyTorch Implementation of Feature Boosting and Suppression
Integration of node-canvas and headless-gl.
Official repository for "PanoWan: Lifting Diffusion Video Generation Models to 360° with Latitude/Longitude-aware Mechanisms"
A fork of the lightning fast C++/CUDA neural network framework which uses FLOAT32 all the time.
Mirror site of Mikan using Workers
Mirror of docker registries using cloudflare workers.
May the code be with you 👻
this repo is for Grand Challenge WSSS4LUAD, detail information about the contest is on https://wsss4luad.grand-challenge.org/WSSS4LUAD/
Enjoy the magic of Diffusion models!
Build your own darknet [read-only mirror of https://git.clan.lol/clan/clan-core]
Deploy free DuckDuckGO AI in Cloudflare Worker.
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SAM with text prompt
A Closed-Form Solution to Uncalibrated Photometric Stereo via Diffuse Maxima.
What is Learned in Deep Uncalibrated Photometric Stereo? (ECCV 2020)
Classic photometric stereo uses ring light sources.
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
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