Official PyTorch implementation of Fully Attentional Networks
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Updated
Mar 31, 2023 - Python
Official PyTorch implementation of Fully Attentional Networks
Android application fuzzing framework with fuzzers and crash monitor.
Silent CORruption CHecker and filesystem audit tool
Benchmarking and Analyzing Point Cloud Perception Robustness under Corruptions
Open PostgreSQL relation files in a hex editor with tags and annotations
Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]
contrib/amcheck from Postgres v11 backported to earlier Postgres versions
Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
A Glitch art tool for data bending, glitching, and distorting static images.
Corrupt videos in weird and interesting ways.
Interactive visualisations of the data available from the Indian government.
Corrupted files generator. Random bits flipper.
Receba notificações de gastos suspeitos do seu político
SVG and Emoji Corrupter built in Vue 3
Farbfeld Image Glitcher
I created this tool to fix corrupt Word documents (non-binary, just open xml files). Mainly this applies to the .docx format. It basically just checks through a list of known corruptions and then applies a fix if it comes across one of those scenarios in the file.
Since 2002, the Mexican Federal government handles most of its procurement biddings through a transactional platform called Compranet. Even though most of the information in the platform is public, authorities and organizations dedicated to fight corruption do not have a technical framework to better allocate their resources into cases.
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