Search Results for "alignment" - Page 4
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205 projects for "alignment" with 1 filter applied:
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PKU Beaver
Constrained Value Alignment via Safe Reinforcement Learning
PKU Beaver is an open-source research project focused on improving the safety alignment of large language models through reinforcement learning from human feedback under explicit safety constraints. The framework introduces techniques that separate helpfulness and harmlessness signals during training, allowing models to optimize for useful responses while minimizing harmful behavior. To support this process, the project provides datasets containing human-labeled examples that encode both performance preferences and safety constraints across multiple dimensions. ... -
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GLM-4-32B-0414
Open Multilingual Multimodal Chat LMs
...The model is pre-trained on 15 trillion tokens of high-quality data, including substantial synthetic reasoning datasets, and further enhanced with reinforcement learning and human preference alignment for improved instruction-following and function calling. Variants like GLM-Z1-32B-0414 offer deep reasoning and advanced mathematical problem-solving, while GLM-Z1-Rumination-32B-0414 specializes in long-form, complex research-style writing using scaled reinforcement learning and external search tools. Despite its large capacity, the model supports user-friendly local deployment and efficient fine-tuning with available scripts. -
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JDiskMark
Java Disk Benchmark Utility
JDiskMark is a powerful and versatile disk benchmarking tool written in Java, designed to help measure the performance and health of your storage drives. Whether you're testing HDDs, SSDs, or network locations, JDiskMark provides reliable insights into your disk's read and write... -
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Tokenized Text Aligner
Aligns tokens in two versions of a text with differing tokenization.
This tool performs token-by-token alignment of two versions of a text with differing tokenization by interpreting the results of a file diff (https://docs.python.org/3/library/difflib.html). It is intended for use in the preparation of annotated linguistic corpora, where differences in tokenization may arise (i) following corrections or modifications to the source text or (ii) through the creation of different layers of annotation (part-of-speech, treebank) requiring different tokenization. ... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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SoniTranslate
Synchronized Translation for Videos
SoniTranslate is a video translation and dubbing system that produces synchronized target-language audio tracks for existing video content. It provides a web UI built with Gradio, allowing users to upload a video, choose source and target languages, and then run a pipeline that handles transcription, translation and re-synthesis of speech. Under the hood, it uses advanced speech and diarization models to separate speakers, align audio with timecodes and respect subtitle timing, which lets... -
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Safety-Prompts
Chinese safety prompts for evaluating and improving the safety of LLMs
...The prompts are structured to test whether models generate outputs that align with human values and safety guidelines when faced with potentially harmful or sensitive requests. Researchers and developers use the dataset to benchmark how well models avoid unsafe responses and follow alignment constraints. The repository also serves as a training resource for improving model alignment by providing examples of prompts that require safe reasoning and appropriate refusal behavior. In addition to evaluation prompts, the project references related tools and benchmarks for assessing model safety across different contexts. -
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LLMDataHub
Quick guide (especially) for trending instruction finetuning dataset
...Each dataset entry typically includes information such as size, language coverage, intended use cases, and links to the original data sources. The repository focuses particularly on datasets useful for chatbot training, instruction-following tasks, and alignment training scenarios. By organizing these resources into a curated hub, the project helps researchers and developers identify the most relevant training corpora for building conversational AI systems. The repository also highlights datasets suitable for reinforcement learning from human feedback and other alignment strategies used in modern language model training. -
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Style Aligned
Official code for Style Aligned Image Generation via Shared Attention
...Instead of fully re-generating an image—and risking changes to lighting, texture, or rendering choices—the method aligns internal features across denoising steps so the target edit inherits the source style. This alignment acts like a constraint on the model’s evolution, steering composition, palette, and brushwork even as objects or attributes change. The result is more consistent edits across a set, which is crucial for workflows like product variations, character sheets, or brand-coherent art. The repository provides reproducible scripts, reference prompts, and guidance for tuning strengths so users can dial in subtle retouches or bolder substitutions. ... -
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InternLM
Official release of InternLM series
InternLM is an open-source family of multilingual foundation and chat models, accompanied by an ecosystem that supports training, inference, and application development. The repository highlights multiple model sizes intended to serve different needs, from efficient research and prototyping to more capable deployments for complex scenarios. Beyond model weights, the project emphasizes an ecosystem view, pointing developers to compatible tools and projects across training and inference so... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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State of Open Source AI
Clarity in the current fast-paced mess of Open Source innovation
...Because the AI domain moves quickly, part of the aim is to make the content maintainable and updateable by the community. The structure includes chapters or sections about model formats, evaluation benchmarks, hardware/backends, MLOps systems, alignment and safety issues, and open datasets. The repository contains the text (in Markdown or similar), configuration for build or publishing (static site or e-book), and contributor guidelines. -
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ChatGPT DAN
ChatGPT DAN, Jailbreaks prompt
...It highlights both the capabilities and limitations of large language models when exposed to unconventional instructions. The project reflects ongoing experimentation within the AI community around control, alignment, and creative use of generative systems. -
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OptiMate
Libraries for optimizing AI models, inference speed, and GPU usage
Optimate is an open source collection of libraries designed to optimize the performance and cost efficiency of artificial intelligence models across different stages of the machine learning lifecycle. It groups several internal optimization tools developed by Nebuly AI into a single repository that focuses on improving inference speed, reducing infrastructure usage, and streamlining model training workflows. Its modules help developers automatically apply optimization techniques that better... -
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SimpleXlsxWriter
C++ library for creating XLSX files for MS Excel 2007 and above.
This library represents XLSX files writer for Microsoft Excel 2007 and above. The main feature of this library is that it uses C++ standard file streams. On the one hand it results in almost unnoticeable memory and CPU resources consumption while processing (that may be very useful at saving a large data arrays), but on the other hand it makes unfeasible to edit data that were written. Hence, if using this library the structure of the future report should be known enough. The library... -
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MTCNN Face Detection Alignment
Joint Face Detection and Alignment
MTCNN_face_detection_alignment is an implementation of the “Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks” algorithm. The algorithm uses a cascade of three convolutional networks (P-Net, R-Net, O-Net) to jointly detect faces (bounding boxes) and align facial landmarks in a coarse-to-fine manner, leveraging multi-task learning. Non-maximum suppression and bounding box regression at each stage. -
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Facexlib
FaceXlib aims at providing ready-to-use face-related functions
facexlib is a PyTorch-based library providing ready-to-use face-related functions, including detection, alignment, recognition, and more. It integrates state-of-the-art open-source methods for various face processing tasks. -
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JavaScript and React Patterns
Repo related to the FrontendMasters course on JavaScript and React
JavaScript and React Patterns showcases idiomatic patterns and anti-patterns for building React applications, focusing on readability, performance, and maintainability. It translates fuzzy best practices into concrete examples—how to compose components cleanly, manage state thoughtfully, and avoid foot-guns with effects and memoization. The guidance leans on modern React paradigms like hooks, context, custom hooks, and component composition to replace older, heavier patterns. Performance... -
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Following Instructions with Feedback
Training Language Models to Follow Instructions with Human Feedback
The following-instructions-human-feedback repository contains the code and supplementary materials underpinning OpenAI’s work in training language models (InstructGPT models) that better follow user instructions through human feedback. The repo hosts the model card, sample automatic evaluation outputs, and labeling guidelines used in the process. It is explicitly tied to the “Training language models to follow instructions with human feedback” paper, and serves as a reference for how OpenAI... -
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...These are now hosted by the github.com/Portmidi/ project, where you can find the lastest versions of PortMidi, portsmf (Standard MIDI File support and more), and see github.com/rbdannenberg/scorealign for MIDI and/or Audio score alignment.
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VITS
Conditional Variational Autoencoder with Adversarial Learning
...The repository provides training and inference pipelines for common datasets such as LJ Speech (single-speaker) and VCTK (multi-speaker), including filelists, configs, and preprocessing scripts. It also includes monotonic alignment search code and g2p preprocessing, which are crucial components for aligning text and speech in an end-to-end setup. -
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Transformer TTS
Implementation of a Transformer based neural network
...It takes inspiration from architectures like FastSpeech, FastSpeech 2, FastPitch, and Transformer TTS, and extends them with its own aligner and forward models. The system separates alignment learning and acoustic modeling: an autoregressive Transformer is used as an aligner to extract phoneme-to-frame durations, while a non-autoregressive “ForwardTransformer” generates mel-spectrograms conditioned on text and durations. This design addresses common autoregressive issues such as repetition, skipped words, and unstable attention, and results in robust, fast synthesis where all frames are predicted in parallel. ... -
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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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m6811dis
M6811 Code-Seeking Disassembler
...It will disassemble the code and follow through branches to assist in the separation of code and data. Its companion Fuzzy Function Analyzer uses DNA Sequence Alignment Algorithms to locate similar code in multiple binaries, facilitating reverse-engineering. Originally written to analyze code from GM automotive engine controllers, but is useful anywhere a 6811 micro is being used. Version 1.0 was written in Borland Pascal in April 1996, and updated to v1.2 in June 1999. It was later rewritten to C++ in July 1999 through Jan 2000. ... -
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Complete-React-Tutorial
All course files for the Complete React Tutorial
Complete-React-Tutorial is a repository of course files for The Net Ninja’s Complete React Tutorial on YouTube. It is organized around lesson branches, so learners can select the branch that matches the video they are following. This makes it easier to compare starting code, lesson progress, and final examples without manually recreating every file. The project is not a standalone React framework or library, but a companion codebase for learning React step by step. It is useful for beginners... -
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Solved by Flexbox
A showcase of problems once hard or impossible to solve with CSS
...The project emphasizes progressive enhancement and calls out where fallbacks or browser caveats may apply, reflecting the realities of shipping layouts on the web. Even as CSS Grid gained traction, the patterns remain a practical reference for component-level alignment and one-dimensional layouts where Flexbox excels. As a teaching resource, it has helped countless developers internalize Flexbox mental models and replace brittle layout tricks with robust, modern CSS. -
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SwiftUI Drawer
A SwiftUI bottom-up controller, like in the Maps app
...The library includes support for animations and haptic feedback, enhancing the tactile feel of interactions and improving user experience. It also provides customization options such as alignment, width, and responsive layout adjustments depending on device orientation or screen size.
