Search Results for "multiple sequence alignment"
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Showing 287 open source projects for "multiple sequence alignment"
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UCO3D
Uncommon Objects in 3D dataset
...It provides about 170,000 full videos per object instance rather than still frames, along with per-video annotations including object masks, calibrated camera poses, and multiple flavors of point clouds. Each sequence also ships with a precomputed 3D Gaussian Splat reconstruction, enabling fast, differentiable rendering workflows and modern implicit/point-based modeling experiments. The repository includes automated downloaders with checksum verification, fine-grained controls to fetch only selected modalities or super-categories, and a lightweight Python API for loading frames, geometry, and splats on demand. ... -
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WhisperJAV
Uses Qwen3-ASR, local LLM, Whisper, TEN-VAD
WhisperJAV is an open-source speech transcription pipeline designed specifically for generating subtitles for Japanese adult video content. The project addresses challenges that standard speech recognition models face when transcribing this type of audio, which often includes low signal-to-noise ratios and large numbers of non-verbal vocalizations. Traditional automatic speech recognition systems can misinterpret these sounds as words, leading to inaccurate transcripts. WhisperJAV introduces... -
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Bowtie 2
A fast and sensitive gapped read aligner
...Overall, Bowtie 2 remains a foundational command-line tool for high-throughput sequence alignment and reproducible computational biology workflows. -
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WhisperX
Automatic Speech Recognition with Word-level Timestamps
...Its architecture combines multiple components to enhance both performance and usability in real-world transcription tasks. Overall, whisperx provides a more robust and scalable solution for high-quality speech-to-text applications. -
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5
YuE
Open source AI model for generating full songs from lyrics prompts
...It focuses on transforming text inputs such as lyrics and genre prompts into complete musical compositions that include both vocal and instrumental tracks. Unlike many shorter audio generators, the model is capable of producing songs that last several minutes while maintaining coherent musical structure and alignment with the provided lyrics. YuE introduces a family of models built on large language model architectures that process music generation as a sequence prediction task. YuE also incorporates techniques such as track-decoupled prediction and progressive conditioning to help manage complex audio signals and maintain consistency throughout long compositions. ... -
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Huxtable
An R package to create styled tables in multiple output formats
Huxtable is an R package to create LaTeX and HTML tables, with a friendly, modern interface. Features include control over text styling, number format, background color, borders, padding, and alignment. Cells can span multiple rows and/or columns. Tables can be manipulated with standard R subsetting or dplyr functions. -
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In-The-Wild Jailbreak Prompts on LLMs
A dataset consists of 15,140 ChatGPT prompts from Reddit
...The dataset includes thousands of prompts collected across multiple platforms and represents one of the largest collections of jailbreak attempts available for research. -
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PHP Snowflake
An ID Generator for PHP based on Snowflake Algorithm
...Snowflake is a network service that generates unique ID numbers at high scale with simple guarantees. If you want to generate unique IDs using the snowflake algorithm, you must ensure that sequence numbers generated within the same millisecond on the same node are unique. Based on this requirement, we have created this package which integrates multiple sequence number providers. -
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PFAAT is a Java-based multiple sequence alignment editor and viewer designed for protein family analysis. You can download PFAAT from http://pfaat.sourceforge.net/
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MiniMax H3
MiniMax H3 is a general-purpose, omni-modal generative system
MiniMax H3 is an omni-modal generative system for creating synchronized video and native stereo audio from complex multimodal instructions. It can understand combinations of text, images, video, and audio as generation context. Outputs range from four to fifteen seconds at 24 frames per second, with multiple aspect ratios and resolutions up to 2K. H3-Base supports text-to-video, first-frame, last-frame, and first-and-last-frame generation. Ref2VA accepts multiple reference images, videos, and audio clips for more controlled results. Its architecture uses a unified multimodal sequence and a 33-billion-parameter H3-Omni-Transformer that jointly predicts video and audio latents. ... -
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KrillinAI
Video translation and dubbing tool powered by LLMs
KrillinAI is an end-to-end content localization, translation, and dubbing tool aimed at helping creators transform videos into multiple languages with minimal manual effort. It integrates several stages of the pipeline: video acquisition (either from local files or remote via download tools), speech recognition (ASR), subtitle segmentation and alignment, machine translation (with context-aware translation to preserve semantics), and voice cloning + text-to-speech (TTS) to produce dubbed audio tracks. ... -
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Qwen3
Qwen3 is the large language model series developed by Qwen team
...The latest updated version, Qwen3-235B-A22B-Instruct-2507, features significant improvements in instruction-following, reasoning, knowledge coverage, and long-context understanding up to 256K tokens. It delivers higher quality and more helpful text generation across multiple languages and domains, including mathematics, coding, science, and tool usage. Various quantized versions, tools/pipelines provided for inference using quantized formats (e.g. GGUF, etc.). Coverage for many languages in training and usage, alignment with human preferences in open-ended tasks, etc. -
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Rewriting Project Claw Code
Ensure consistency and alignment between different codebases
Rewriting Project Claw Code is a development tool or framework designed to ensure consistency and alignment between different codebases, environments, or implementations. It focuses on maintaining parity across systems, which is particularly important in distributed architectures or multi-platform applications. The project provides mechanisms to compare, validate, and synchronize code or behavior, helping teams avoid discrepancies that can lead to bugs or inconsistencies. -
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face.evoLVe
High-Performance Face Recognition Library on PaddlePaddle & PyTorch
...The project provides a comprehensive framework for building and training modern face recognition models using deep learning architectures. It includes components for face alignment, landmark localization, data preprocessing, and model training pipelines that allow developers to construct end-to-end facial recognition systems. The repository supports multiple neural network backbones such as ResNet, DenseNet, MobileNet, and ShuffleNet, enabling experimentation with different architectures depending on performance requirements. ... -
15
fzf
A command-line fuzzy finder
...(You can override the default command with FZF_DEFAULT_COMMAND). fzf by default starts in fullscreen mode, but you can make it start below the cursor with the height option. Unless otherwise specified, fzf starts in "extended-search mode" where you can type in multiple search terms delimited by spaces. Fuzzy completion for files and directories can be triggered if the word before the cursor ends with the trigger sequence, which is by default **. Fuzzy completion for PIDs is provided for the kill command. In this case, there is no trigger sequence. -
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Sprite Fusion Pixel Snapper
A tool to snap pixels to a perfect grid
Sprite Fusion Pixel Snapper is a utility designed to eliminate sub-pixel rendering issues that often arise in pixel art, UI icons, and 2D sprite graphics when displayed on screens with high DPI or during motion animations. The tool works by adjusting sprite rendering coordinates and texture sampling so that every pixel aligns cleanly to the screen’s pixel grid, avoiding blurring, distortion, or unintended smoothing artifacts. This is especially important in pixel art games, retro-styled... -
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boxen
Create boxes in the terminal
boxen is a JavaScript library for rendering text inside customizable boxes in terminal applications. Developers provide text and configuration options, and the package generates the corresponding Unicode terminal layout. Borders can use predefined styles or fully custom character sets, with configurable colors and opacity. Boxes can include titles with independent alignment controls and can position their contents to the left, center, or right. Width, height, padding, margins, background... -
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AutoSubSync
Automatic subtitle synchronization tool
AutoSubSync is a cross-platform desktop application designed to automatically synchronize subtitle files with video content using advanced alignment algorithms. It integrates tools like ffsubsync, autosubsync, and alass to analyze audio and match subtitle timing with high accuracy. The application supports both automatic synchronization and manual adjustment, allowing users to fine-tune results when needed. It provides a drag-and-drop interface that simplifies the process of loading video... -
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MAF
Bash Framework to combine many preprocessing and alignment tools
DNA and RNA nucleotide sequences are an ubiquitous element of all biological cells and are serving on one hand as a comprehensive library of capabilities for the cells and on the other as an impressive regulatory system to control cellular function. The presented multi-alignment framework (MAF) should give researchers a simple sequence alignment platform as a functional template, flexible enough to adjust all steps but also comprehensive enough to join many different tools and custom parameter combinations if in-depth analysis is necessary or advised in e.g. low read rate situations. The platform enables researcher to apply multiple sequence aligners and further pre- and postprocessing tools in flexible combinations to analyze the subtle to remarkable differences between different sequence alignment and processing algorithms applied to the same data basis. ... -
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Plaso
Super timeline all the things
Plaso (Plaso Langar Að Safna Öllu), or "super timeline all the things," is a Python-based engine designed for automatic creation of timelines in digital forensic investigations. It processes various log files and artifacts to generate a chronological sequence of events, aiding analysts in understanding system activities. -
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SAM (Sequence Alignment/Map) is a flexible generic format for storing nucleotide sequence alignment. SAMtools provide efficient utilities on manipulating alignments in the SAM format. The main samtools source code repository moved to GitHub in March 2012. For ongoing development since then, see http://github.com/samtools/samtools
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Monaspace
An innovative superfamily of fonts for code
Monaspace is a superfamily of coding typefaces designed to improve the reading rhythm and texture of code while preserving the alignment benefits developers expect. It includes multiple coordinated families and weights, with italics and stylistic alternates that retain code clarity rather than introducing overly decorative forms. The fonts offer thoughtful ligatures and contextual features that handle common programming sequences without distorting spacing or meaning. ... -
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HunyuanCustom
Multimodal-Driven Architecture for Customized Video Generation
HunyuanCustom is a multimodal video customization framework by Tencent Hunyuan, aimed at generating customized videos featuring particular subjects (people, characters) under flexible conditions, while maintaining subject/identity consistency. It supports conditioning via image, audio, video, and text, and can perform subject replacement in videos, generate avatars speaking given audio, or combine multiple subject images. The architecture builds on HunyuanVideo, with added modules for... -
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LLM Course
Course to get into Large Language Models (LLMs)
...It emphasizes reproducible experiments: each step is demonstrated with runnable code, clear dependencies, and references to commonly used open-source models and libraries. Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches that fit their hardware and budgets. The materials also cover inference optimization and quantization to make serving LLMs feasible on commodity GPUs or even CPUs, which is crucial for side projects and startups. Evaluation is treated as a first-class topic, with examples of automatic and human-in-the-loop methods to catch regressions and verify quality beyond simple loss values. ... -
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RLHF-Reward-Modeling
Recipes to train reward model for RLHF
...In RLHF pipelines, reward models are responsible for evaluating generated responses and assigning scores that guide the model toward outputs that better match human preferences. The repository provides training recipes and implementations for building reward and preference models using modern machine learning frameworks. It supports multiple optimization strategies commonly used in alignment pipelines, including reinforcement learning with PPO, iterative supervised fine-tuning using rejection sampling, and direct preference optimization methods. The project also includes evaluation results showing that the trained reward models can achieve competitive performance compared with other open-source alignment systems.
