alignment-algorithm

Restore safety in fine-tuned language models through task arithmetic

Implementation of Needleman-Wunsch algorithm in Python Using Nested Functions.

2022 CCF大数据与计算智能大赛——带噪音的社交网络对齐 (the competition - Social Network Alignment under Noise Intervention at CCF BDCI 2022) [Baseline]

Project and Dataset for Personal Information Leakage Detection in Conversations

This repository is dedicated to implementing algorithms "From Scratch". It goes beyond simple API calls, diving deep into the underlying logic of everything from basic training to cutting-edge techniques like DeepSeek-R1.

Automatic head CT alignment using deep learning-based landmark detection and geometric transformations. Standardizes orientation for robust analysis.

RUITE, a UI layout refiner that allows designers to automatically align and group the given UI layout.

Pairwise philological alignment library with pluggable language packs — semi-global Needleman–Wunsch with affine gaps and abbreviation-span lookahead. Ships with a Biblical/Rabbinic Hebrew pack.

Aligns 3D einscan meshes to those produced from MRI scans to enable the functional information from an OPM-MEG experiment to be overlaid onto structural brain imagery obtained via MRI

End-to-end Vietnamese ID card recognition pipeline with card detection, field detection, image preprocessing, and OCR extraction.

Post-processing framework for GAN-generated synthetic time series using Soft-DTW alignment and ARMA-based statistical evaluation.

String alignment through Gibbs sampling

Alignement structurale d'une séquence protéique sur une structure protéique 3D.

An interactive Python toolkit for DNA, RNA, and protein sequence analysis — including alignments, nucleotide counting, transcription, complements, and reverse sequences.

This repository includes the source code for a CLI based tool built on Python language for aligning DNA/RNA sequences directly given as input or using fasta files. It provides a quick basic alignment result in a textual format and generate heatmap.

Point Cloud Registration (Research Project - B.Sc. Software Engineering): Developed a Deep Learning model for 3D point cloud registration inspired by the SuperGlue architecture. Implemented an SVD-based algorithm to recover optimal rotation and translation matrices for partial cloud alignment, demonstrating feasibility for pose estimation tasks.

Algorithm to parse, assemble and align genomic sequences by use machine learning techniques. The resulting sequences are used to form NCBI-BLAST respects and return sequence homologs.