Search Results for "corruption"

...The underlying idea is to parameterize a flow (a time-dependent vector field) that transports samples from a simple base distribution to a target distribution, and train via matching of flows without requiring score estimation or noisy corruption—this can lead to more efficient or stable generative training. The library supports both continuous-time flows (via differential equations) and discrete-time analogues, giving flexibility in design and tradeoffs. It provides examples across modalities (images, toy 2D distributions) to help users understand how to apply flow matching in practice. ...

DAR is a command-line backup and archiving tool that uses selective compression (not compressing already compressed files), strong encryption, may split an archive in different files of given size and provides on-fly hashing, supports differential backup with or without binary delta, ftp and sftp protocols to remote cloud storage Archive internal's catalog, allows very quick restoration even a single file from a huge, eventually sliced, compressed, encrypted archive eventually located on...

Fix/improve X-Wing games (XWA and others) to allow them to run on current PCs with improved graphics. Now also available on the Microsoft Store (consider it beta) at ms-windows-store://pdp/?productid=9PPKMJSRTM2B or https://www.microsoft.com/store/apps/9PPKMJSRTM2B

...It brings together links to tutorials, tools, writeups, and CTF resources so that security learners don’t have to hunt across the internet for a coherent path. The focus is on practical exploitation skills: understanding memory corruption, reverse engineering, shellcode, privilege escalation, and platform specifics. By being a single, public list, it lowers the barrier for newcomers who want to go from “I know nothing about exploitation” to “I can follow a CTF writeup” in a guided way. It is also helpful for defenders and security engineers who want to understand offensive techniques to harden systems. ...

KinoGlitch is a compact set of video glitch post-processing effects for Unity. It ships with two primary categories: analog glitches that simulate signal imperfections like scanline jitter, color drift, vertical jump, and horizontal shake, and a digital glitch effect that produces blocky compression-style artifacts. The package is designed to be easy to drop into projects to achieve stylized, retro, or distressed looks for cameras and cutscenes. It emphasizes real-time performance and simple...

Reed-Solomon encoder/decoder for Block Devices. Provides methods for enhanced data recovery from corrupted storage media, along with faster methods for reading the data when no corruption is encountered.

Deep Indigo is an application designed to analyze and repair standard WAVE music files. The main features are: playback, basic information, graphs / visualizations, and transformations to fix corruption and damage.

Repairs corrupt files by combining the good bytes from multiple corrupt copies. If you have (downloaded) many copies of the same file, and the corruptions are in different places, it is possible to fix the file.

Open Source Security System for home users as well as for system administrators. Aims at providing an uniform security platform, Operating System Independent, to protect and prevent valuable data from corruption/stealling and destruction.

ZIDRAV is a file corruption detection and repair program. It's designed to provide a way to fix file damage without having to redownload the entire (potentially large) file over a (potentially slow) connection.

memwatch is an ANSI C fault tolerant memory leak and corruption detection tool. Basically, you add a header file to your souce code files, and compile with MEMWATCH defined or not. Check the README and USING files for more instructions.

Tests quality of connection. I have initially came up with the idea for this program when I had problems in my LAN. The software is designed to diagnose packet losses and packet corruption.

facebook/bart-large-cnn is a large-scale sequence-to-sequence transformer model developed by Meta AI and fine-tuned specifically for abstractive text summarization. It uses the BART architecture, which combines a bidirectional encoder (like BERT) with an autoregressive decoder (like GPT). Pre-trained on corrupted text reconstruction, the model was further trained on the CNN/DailyMail dataset—a collection of news articles paired with human-written summaries. It performs particularly well in...