Search Results for "code alignment" - Page 2
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37 projects for "code alignment" with 1 filter applied:
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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XLM (Cross-lingual Language Model)
PyTorch original implementation of Cross-lingual Language Model
...It popularized objectives like Masked Language Modeling (MLM) across many languages and Translation Language Modeling (TLM) that jointly trains on parallel sentence pairs to tighten cross-lingual alignment. Using a shared subword vocabulary, XLM learns language-agnostic features that work well for classification and sequence labeling tasks such as XNLI, NER, and POS without target-language supervision. The repository provides preprocessing pipelines, training code, and fine-tuning scripts so you can reproduce benchmark results or adapt models to your own multilingual corpora. ... -
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Solved by Flexbox
A showcase of problems once hard or impossible to solve with CSS
Solved by Flexbox is a collection of layout patterns that demonstrates how CSS Flexbox elegantly resolves classic web design problems. It tackles everyday challenges—vertical centering, equal-height columns, sticky footers, fluid media, and responsive grids—showing concise, production-ready CSS instead of elaborate hacks. Each pattern is presented with plain HTML, clear commentary, and minimal styling, making the underlying technique easy to adapt and extend. The project emphasizes... -
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MUSE
A library for Multilingual Unsupervised or Supervised word Embeddings
MUSE is a framework for learning multilingual word embeddings that live in a shared space, enabling bilingual lexicon induction, cross-lingual retrieval, and zero-shot transfer. It supports both supervised alignment with seed dictionaries and unsupervised alignment that starts without parallel data by using adversarial initialization followed by Procrustes refinement. The code can align pre-trained monolingual embeddings (such as fastText) across dozens of languages and provides standardized evaluation scripts and dictionaries. By mapping languages into a common vector space, MUSE makes it straightforward to build cross-lingual applications where resources are scarce for some languages. ... -
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Java Wizard Development Framework
Reduced SWING coding. New UI components. Easy layout management.
About: 1) Projects helps Java - SWING developers to develop UI forms very faster. 2) API contains reusable Components & Layouts that developers can directly use in their projects. 3) Just include project JAR file in your existing project then import and use all features (refer JavaWizardDevelopmentDocumentation) * Don't worry about Java's complex layouts, just pass your components as parameters to our "MyLayout" class and we'll do it for you. * New & pre-aligned UI components like... -
Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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calc2booktab.latex
Script for OpenOffice/LibreOffice to convert tables to Latex-Code
UPDATE: The project was moved to github (https://github.com/schober-ch/calc2booktab). The soruceforge page won't get any bugfixes, please use the github repo if you want to try this macro. -------------------------------------------------------------------------- A Python extension for OpenOffice/LibreOffice to convert selected cells to LaTeX-Code. Its similar to Calc2Latex, but typographic formatting is more advanced (numeric columns, dcolumn-package, booktab-package) Script is... -
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Normalize.css
A modern alternative to CSS resets
normalize.css is a small CSS file that provides a consistent baseline of default styles across browsers without erasing useful browser opinions. Rather than a “hard reset” that zeroes everything, it preserves sensible defaults for elements while fixing inconsistencies and edge cases that vary between engines. The project documents why each rule exists, targeting real-world quirks such as form control alignment, typographic defaults, and HTML5 element rendering. It is deliberately minimal and... -
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LaTeX Table Creator
Simple Cross-platform LaTeX table creator with a GUI and console app.
...It does not supply WYSIWYG view. The GUI application allows the user to paste text into the application select formatting, generate the LaTeX output and copy the LaTeX code. The GUI is written using wxWidgets. The console application uses an input and output file and flags to specify formatting. -
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NeedlemanWunsch
Fast global sequence alignment for the masses!
MOVED TO GITHUB: https://github.com/noporpoise/seq-align Global optimal sequence alignment using the Needleman-Wunsch algorithm. Aligns DNA, RNA, protein sequence and more! See our sister project local alignment using Smith-Waterman: http://sourceforge.net/projects/smithwaterman/ -
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SmithWaterman
Fast local sequence alignment for the masses!
MOVED TO GITHUB: https://github.com/noporpoise/seq-align An implementation of the Smith-Waterman local sequence alignment algorithm. See our sister project global alignment using Needleman-Wunsch: http://sourceforge.net/projects/needlemanwunsch/ -
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Sequence studio main package provides classes and interfaces for various kinds of sequence alignment. Differently from regular expressions it computes similarity with two initially unknown strings. Project page provides code generating applet.
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Hermes 4
Hermes 4 FP8: hybrid reasoning Llama-3.1-405B model by Nous Research
Hermes 4 405B FP8 is a cutting-edge large language model developed by Nous Research, built on Llama-3.1-405B and optimized for frontier reasoning and alignment. It introduces a hybrid reasoning mode with explicit <think> segments, enabling the model to deliberate deeply when needed and switch to faster responses when desired. Post-training improvements include a vastly expanded corpus with ~60B tokens, boosting performance across math, code, STEM, logic, creativity, and structured outputs. ... -
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Llama-3.2-1B-Instruct
Instruction-tuned 1.2B LLM for multilingual text generation by Meta
Llama-3.2-1B-Instruct is Meta’s multilingual, instruction-tuned large language model with 1.24 billion parameters, optimized for dialogue, summarization, and retrieval tasks. It builds upon the Llama 3.1 architecture and incorporates fine-tuning techniques like SFT, DPO, and quantization-aware training for improved alignment, efficiency, and safety. The model supports eight primary languages (including English, Spanish, Hindi, and Thai) and was trained on a curated mix of publicly available...
