Search Results for "alignment" - Page 2
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Showing 522 open source projects for "alignment"
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GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs
GLM-4 is a family of open models from ZhipuAI that spans base, chat, and reasoning variants at both 32B and 9B scales, with long-context support and practical local-deployment options. The GLM-4-32B-0414 models are trained on ~15T high-quality data (including substantial synthetic reasoning data), then post-trained with preference alignment, rejection sampling, and reinforcement learning to improve instruction following, coding, function calling, and agent-style behaviors. The GLM-Z1-32B-0414 line adds deeper mathematical, coding, and logical reasoning via extended reinforcement learning and pairwise ranking feedback, while GLM-Z1-Rumination-32B-0414 introduces a “rumination” mode that performs longer, tool-using deep research for complex, open-ended tasks. ... -
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MESHROOM
3D reconstruction software
...The dense modeling of the scene is the result yielded by chaining two computer vision-based pipelines, “Structure-from-Motion” (SfM) and “Multi View Stereo” (MVS). Fusion of Multi-bracketing LDR images into HDR. Alignment of panorama images. Support for fisheye optics. Automatically estimate fisheye circle or manually edit it. Take advantage of motorized-head file. Easy to integrate in your Renderfarm System. Add specific rules to select the most suitable machines regarding CPU, RAM, GPU requirements of each Node. -
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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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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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PowerPoint-ist
Web presentation editor replicating many PowerPoint features online
...PPTist supports a wide variety of slide elements such as text, images, shapes, charts, tables, audio, video, and mathematical formulas, enabling users to design rich and complex presentations. It also includes tools for slide organization, element alignment, animation, and theme management to streamline presentation design workflows. In addition to editing capabilities, it provides export options for presentation files and other formats, although compatibility with traditional presentation formats. -
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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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verl
Volcano Engine Reinforcement Learning for LLMs
...The library focuses on scalability and efficiency, offering distributed training loops, mixed precision, and replay/buffering utilities that keep accelerators busy. It ships with reference implementations of popular alignment algorithms and clear examples that make it straightforward to reproduce baselines before customizing. Data pipelines treat human feedback, simulated environments, and synthetic preferences as interchangeable sources, which helps with rapid experimentation. VERL is meant for both research and production hardening: logging, checkpointing, and evaluation suites are built in so you can track learning dynamics and regressions over time. -
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pandas
Fast, flexible and powerful Python data analysis toolkit
pandas is a Python data analysis library that provides high-performance, user friendly data structures and data analysis tools for the Python programming language. It enables you to carry out entire data analysis workflows in Python without having to switch to a more domain specific language. With pandas, performance, productivity and collaboration in doing data analysis in Python can significantly increase. pandas is continuously being developed to be a fundamental high-level building... -
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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 and subtitle files, making it accessible for non-technical users. ... -
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SEO GEO Content Engine
Professional SEO and GEO content workflows for brands, SaaS teams
...The system automates the process of identifying opportunities, generating content, and validating its effectiveness based on modern search criteria. It emphasizes alignment with both traditional SEO and AI-driven search systems, ensuring content remains competitive in evolving environments. The engine supports iterative improvement, allowing content to be continuously updated and refined based on performance data. It is designed for scalability, enabling teams to manage large content ecosystems efficiently. ... -
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TADA
Open Source Speech Language Model
TADA is an open-source speech-language modeling framework designed to unify spoken audio and text representations within a single generative architecture. The system focuses on aligning speech and text streams using a dual-alignment mechanism that synchronizes the acoustic signal with its textual representation. By modeling both modalities together, the framework allows developers to build systems capable of generating, understanding, and transforming speech and language simultaneously. This approach can support applications such as conversational AI, speech synthesis, multimodal language modeling, and speech understanding systems. ... -
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CodeGeeX4
CodeGeeX4-ALL-9B, a versatile model for all AI software development
...Designed as a powerful AI coding assistant, it supports over 100 programming languages and has been trained on a massive code and natural language corpus. Compared to its predecessors, CodeGeeX4 introduces improved reasoning, stronger alignment with developer needs, and better performance on real-world programming benchmarks. It supports tasks such as code completion, generation from natural language descriptions, code translation, bug fixing, and explanation. The repository provides model checkpoints, inference examples, and fine-tuning guides, making it adaptable for both research and practical software development workflows. ... -
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Tokenizers
Fast State-of-the-Art Tokenizers optimized for Research and Production
...Takes less than 20 seconds to tokenize a GB of text on a server’s CPU. Easy to use, but also extremely versatile. Designed for both research and production. Full alignment tracking. Even with destructive normalization, it’s always possible to get the part of the original sentence that corresponds to any token. Does all the pre-processing: Truncation, Padding, add the special tokens your model needs. -
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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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DrawDB
Free, simple, and intuitive online database diagram editor
...Projects can be saved, shared, and exported as images for documentation, making it useful for handoffs and reviews. The editor supports conveniences like snapping, alignment guides, column type presets, and notes to capture design intent. By centering schema modeling in a fast, approachable UI, drawDB reduces the back-and-forth between whiteboards, spreadsheets, and handwritten SQL. -
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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. ... -
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RLHF-Reward-Modeling
Recipes to train reward model for RLHF
...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. -
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Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. ... -
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InfiniteYou
Flexible Photo Recrafting While Preserving Your Identity
...Using an architecture built around diffusion transformers (DiTs), InfiniteYou introduces a component called InfuseNet that injects identity features derived from reference images into the generation process — via residual connections — so that the output matches the person’s identity closely, without sacrificing visual quality or text-image alignment. The team uses a multi-stage training strategy with synthetic multi-sample data per identity to fine-tune for both identity consistency and aesthetic quality. Compared to prior methods, InfiniteYou significantly improves on identity similarity, text-prompt adherence, overall image quality, and avoids common problems such as face copy-pasting artifacts. -
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Tolaria
Desktop app to manage markdown knowledge bases
Tolaria is a platform designed to help developers understand, refactor, and improve codebases through structured analysis and transformation workflows. It focuses on breaking down complex systems into manageable components, making it easier to identify technical debt and architectural issues. The project emphasizes clarity, maintainability, and iterative improvement of software systems. It provides tools and patterns for analyzing dependencies, restructuring modules, and improving code... -
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Hunyuan3D 2.0
High-Resolution 3D Assets Generation with Large Scale Diffusion Models
The Hunyuan3D-2 model, developed by Tencent, is designed for generating high-resolution 3D assets using large-scale diffusion models. This model offers advanced capabilities for creating detailed 3D models, including texture enhancements, multi-view shape generation, and rapid inference for real-time applications. It is particularly useful for industries requiring high-quality 3D content, such as gaming, film, and virtual reality. Hunyuan3D-2 supports various enhancements and is available... -
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Zen Kernel
Zen Patched Kernel Sources
Zen Patched Kernel Sources. This is the top level of the kernel’s documentation tree. Kernel documentation, like the kernel itself, is very much a work in progress; that is especially true as we work to integrate our many scattered documents into a coherent whole. ARC processors are highly configurable and several configurable options are supported in Linux. Some options are transparent to software (i.e cache geometries, some can be detected at runtime and configured and used accordingly,... -
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ERNIE
The official repository for ERNIE 4.5 and ERNIEKit
...The repository positions ERNIEKit as an industrial-grade development toolkit, emphasizing end-to-end workflows that span high-performance pre-training, supervised fine-tuning, and alignment. It supports both full-parameter training and parameter-efficient approaches so teams can choose between maximum quality and lower-cost adaptation depending on their constraints. The project also emphasizes optimization techniques for large-scale training, including mixed-precision and hybrid-parallel strategies that are commonly needed for multi-node GPU clusters. ... -
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UCO3D
Uncommon Objects in 3D dataset
...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. Metadata is indexed in SQLite for quick queries at scale, and helper builders handle alignment, undistortion, frame extraction from videos, and cropping around the object. -
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Diagram Design
Thirteen editorial diagram types for Claude Code. Self-contained HTML
Diagram Design is a curated resource that provides guidelines and inspiration for creating clear and effective diagrams. It focuses on improving communication through visual design principles such as hierarchy, alignment, and clarity. The project includes examples and best practices for designing diagrams used in presentations, documentation, and product design. It helps users understand how to structure information visually to enhance comprehension. The repository emphasizes simplicity and readability in diagram creation. It is particularly useful for designers, developers, and educators who rely on visual explanations. ...
