A unique wordlist generator with several types of combinations to choose from, or to mix them all
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FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data
####Introduce FAST Aiming at the problems of cumbersome steps and slow download speed of GNSS data, a relatively complete set of integrated multi-source data download terminal software fast is developed. The software contains most of the data sources required in the process of GNSS scientific research and learning. The way of parallel download greatly improves the efficiency of download. Git Software features Multi platform: Support both windows and Linux systems; Abundant Resources: It basically includes the data sources required in […]
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Put your art in perspective with vpype
vpype-perspective is a vpype plug-in to bring your 2D artwork in 3D space and render it in perspective. This project both aims to be a usable tool enabling new creative possibilities, and educational material demonstrating advanced uses of vpype and 3D computer graphics math basics. Installation IMPORTANT: vpype-perspective relies on the master branch of vpype and is not compatible with the latest release (vpype 1.9.0). The following instructions reflects this. Install/upgrade vpype to master: Note: installing on Apple silicon/M1 hardware […]
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A library implementing C++’s custom literal suffixes using pure Python
A module implementing custom literal suffixes using pure Python. custom-literals mimics C++’s user-defined literals (UDLs) by defining literal suffixes that can be accessed as attributes of literal values, such as numeric constants, string literals and more. (c) RocketRace 2022-present. See LICENSE file for more. See the examples/ directory for more. Function decorator syntax: from custom_literals import literal from datetime import timedelta @literal(float, int, name=”s”) def seconds(self): return timedelta(seconds=self) @
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Handwired mechanical keyboard generator
Klavgen is a handwired keyboard generator written in Python, on top of CadQuery. It produces keyboards (like on the left) and makes handwiring easy and organized via switch holders (on the right): Note: Klavgen is heavily work-in-progress and lots of stuff mey not be working. If you experience issues, please submit an Github issue. Benefits of building a keyboard with Klavgen: Generates all the shells and support structures you need for a keyboard, in a way that’s optimized for home […]
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Learning to Detect Mobile Objects from LiDAR Scans Without Labels
This is the official code release for [CVPR 2022] Learning to Detect Mobile Objects from LiDAR Scans Without Labels. by Yurong You*, Katie Z Luo*, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, and Kilian Q. Weinberger Paper Abstract Current 3D object detectors for autonomous driving are almost entirely trained on human-annotated data. Although of high quality, the generation of such data is laborious and costly, restricting them to a few specific locations and object types. This […]
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LinkBERT: A Knowledgeable Language Model Pretrained with Document Links
This repo provides the model, code & data of our paper: LinkBERT: Pretraining Language Models with Document Links (ACL 2022). @InProceedings{yasunaga2022linkbert, author = {Michihiro Yasunaga and Jure Leskovec and Percy Liang}, title = {LinkBERT: Pretraining Language Models with Document Links}, year = {2022}, booktitle = {Association for Computational Linguistics (ACL)}, } Overview LinkBERT is a new pretrained language model (improvement of BERT) that captures document links such as hyperlinks and citation
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Dockerized Spring4Shell (CVE-2022-22965) PoC application and exploit
This is a dockerized application that is vulnerable to the Spring4Shell vulnerability (CVE-2022-22965). Full Java source for the war is provided and modifiable, the war will get re-built whenever the docker image is built. The built WAR will then be loaded by Tomcat. There is nothing special about this application, it’s a simple hello world that’s based off Spring tutorials. Details: https://www.lunasec.io/docs/blog/spring-rce-vulnerabilities Requirements Docker Python3 + requests library Instructions Clone the repository Build and run the container: docker build . […]
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Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers
beyond masking Beyond Masking: Demystifying Token-Based Pre-Training for Vision Transformers The code is coming Figure 1: Pipeline of token-based pre-training. Figure 2: The visualization of the proposed 5 tasks. main results All the results are pre-trained for 300 epochs using Vit-base as default. zoomed-in zoomed-out distorted blurred de-colorized finetune 82.7 82.5 82.1 81.8 81.4 zoomed-in (a) mask (m) (a)+(m) finetune 82.7 82.9 83.2 We note that the integrated version dose not require
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