Misc YOLOL scripts for use in the Starbase space sandbox videogame

Overview

starbase-misc

Misc YOLOL scripts for use in the Starbase space sandbox videogame.

Each directory contains standalone YOLOL scripts. They don't really do anything by themselves and should be regarded as collections of formulas, algorithms, and snippets.

Anyone who comes across this repo is encouraged to copy and use anything they find useful.

transfer attack; adversarial examples; black-box attack; unrestricted Adversarial Attacks on ImageNet; CVPR2021 天池黑盒竞赛

transfer_adv CVPR-2021 AIC-VI: unrestricted Adversarial Attacks on ImageNet CVPR2021 安全AI挑战者计划第六期赛道2:ImageNet无限制对抗攻击 介绍 : 深度神经网络已经在各种视觉识别问题上取得了最先进的性能。

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Download & Install mods for your favorit game with a few simple clicks

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PyTorch implementation of the supervised learning experiments from the paper Model-Agnostic Meta-Learning (MAML)

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Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

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Direct Multi-view Multi-person 3D Human Pose Estimation

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Calling Julia from Python - an experiment on data loading

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Improving Factual Completeness and Consistency of Image-to-text Radiology Report Generation

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The pytorch implementation of the paper "text-guided neural image inpainting" at MM'2020

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A quantum game modeling of pandemic (QHack 2022)

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A PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks

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Python/Rust implementations and notes from Proofs Arguments and Zero Knowledge

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LiDAR R-CNN: An Efficient and Universal 3D Object Detector

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Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

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PyTorch implementation of Tacotron speech synthesis model.

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Framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample resolution

Sample-specific Bayesian Networks A framework for estimating the structures and parameters of Bayesian networks (DAGs) at per-sample or per-patient re

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Chinese named entity recognization with BiLSTM using Keras

Chinese named entity recognization (Bilstm with Keras) Project Structure ./ ├── README.md ├── data │   ├── README.md │   ├── data 数据集 │   │   ├─

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(NeurIPS 2021) Realistic Evaluation of Transductive Few-Shot Learning

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Piotr - IoT firmware emulation instrumentation for training and research

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PyTorch implementation of CVPR'18 - Perturbative Neural Networks

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