Search Results for "dvda-author"
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Showing 35 open source projects for "dvda-author"
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Find Hidden Risks in Windows Task SchedulerWindows Task Scheduler might be hiding critical failures. Download the free JAMS diagnostic tool to uncover problems before they impact productionâget a color-coded risk report with clear remediation steps in minutes.
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like âBuild me a revenue dashboard on my Stripe dataâ and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Recurrent Interface Network (RIN)
Implementation of Recurrent Interface Network (RIN)
Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch. The author unawaredly reinvented the induced set-attention block from the set transformers paper. They also combine this with the self-conditioning technique from the Bit Diffusion paper, specifically for the latents. The last ingredient seems to be a new noise function based around the sigmoid, which the author claims is better than cosine scheduler for larger images. ... -
2
XHS-Downloader
GUI/CLI tool for downloading Xiaohongshu
...The project offers two execution pathsârun the compiled app or run from sourceâand documents default download and configuration paths to simplify first use. Recent releases add format support like JPEG and HEIC, clipboard-listening mode improvements, author-based archiving, SOCKS/HTTP proxy options, and the ability to set the fileâs modification time to the postâs publish time for cleaner library organization. There is an active issues/discussions area with community tips, including approaches that use Selenium to acquire cookies and user agents for more reliable downloads. -
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Mirascope
LLM abstractions that aren't obstructions
Mirascope is a powerful, flexible, and user-friendly library that simplifies the process of working with LLMs through a unified interface that works across various supported providers, including OpenAI, Anthropic, Mistral, Gemini, Groq, Cohere, LiteLLM, Azure AI, Vertex AI, and Bedrock. Whether you're generating text, extracting structured information, or developing complex AI-driven agent systems, Mirascope provides the tools you need to streamline your development process and create... -
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Promptr
Promptr is a CLI tool that lets you use plain English to instruct GPT3
Promptr is a CLI tool that lets you use plain English to instruct OpenAI LLM models to make changes to your codebase. Changes are applied directly to the files that you reference from your prompt. -
Atera all-in-one platform IT management software with AI agentsAteraâs AI agents donât just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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5
AI Runner
Offline inference engine for art, real-time voice conversations
...It is implemented as a desktop-oriented Python application and emphasizes privacy and self-hosting, allowing users to work with text-to-speech, speech-to-text, text-to-image and multimodal models without sending data to external services. At the core of its LLM stack is a mode-based architecture with specialized âmodesâ such as Author, Code, Research, QA and General, and a workflow manager that automatically routes user requests to the right agent based on the task. The project has a strong focus on developer ergonomics, with thorough development guidelines, environment configuration using .env variables, and a clear structure for tests, tools and agents. -
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CVPR 2025
Collection of CVPR 2025 papers and open source projects
...It organizes entries by topic areas such as detection, segmentation, generative models, 3D vision, multi-modal learning, and efficiency, so you can navigate the yearâs output efficiently. Each paper entry typically includes a title, author list, and links to the paper PDF and official or third-party code repositories. The list frequently highlights benchmarks, leaderboards, or notable results so readers can assess impact at a glance. Because conference content evolves rapidly, the repository is updated as authors release code or refine readme instructions, keeping the collection timely. ... -
7
LitterBox
A secure sandbox environment for malware developers and red teamers
...It provides an isolated environment to exercise payloads against modern detection stacks, verify signatures and heuristics, and observe runtime characteristics without leaking binaries to third-party vendors. The README frames typical use cases: testing evasion, validating detections, analyzing behavior, and keeping sensitive tooling in-house. Repo metadata and author pages highlight an active security-tools ecosystem around the maintainer, with CI and pull-request activity suggesting ongoing development. The project positions itself as a safe proving ground to reduce surprises in the field while minimizing operational risk. For teams exploring MCP integrations, notes mention pairing with LLM agents for assisted analysis. -
8
Telegram Bot SDK
Telegram Bot API PHP SDK to build Telegram Bots
...Powered by Laravel Collection API for Response Objects. Events/Plugin Support to Extend Features Conversational Support. Well-designed, tested & built. Active support from the author as well as the community. If you're using this SDK with Laravel, the SDK will self-register its ServiceProvider and Facade using Laravel's auto-discovery. If you're using this SDK to build your Telegram Bots, We'd love to know and share the bot with the world. -
9
handson-ml3
Fundamentals of Machine Learning and Deep Learning
...The third edition updates the content for TensorFlow 2 and Keras, introduces new chapters (for example on reinforcement learning or generative models), and offers best-practice code that reflects current ecosystems. The notebooks are designed so you can run them locally or on Colab/online, making it accessible for learners regardless of infrastructure. The author includes solutions for exercises and sets up an environment specification so you can reproduce results. Because the discipline of ML evolves rapidly, this repo serves both as a learning path and a reference library you can revisit as models. -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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gptcommit
A git prepare-commit-msg hook for authoring commit messages with GPT-3
...When making complex code changes, it can be tedious to thoroughly document the contents of each change. I often felt the impulse to just title my commit âfix bugâ and move on. Surfacing these changes with gptcommit helps the author and reviewer by bringing attention to these additional changes. -
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Chidori
A reactive runtime for building durable AI agents
A reactive runtime for building durable AI agents. Chidori is an open-source orchestrator, runtime, and IDE for building software in symbiosis with modern AI tools. When using Chidori, you author code with python or javascript, we provide a layer for interfacing with the complexities of AI models in long-running workflows. We have avoided the need for declaring a new language or SDK in order to provide these capabilities so that you can leverage software patterns that you are already familiar with. -
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Understand Prompt
Structured exploration and summary of prompt engineering practices
Understand Prompt is a repository by Phodal Huang that serves as a structured exploration and summary of prompt engineering practices across coding, art, and writing contexts, especially in the era of AI models like StableDiffusion and ChatGPT. Itâs part tutorial, part reflection: the author writes about how prompts work (for image generation, article generation, code auto-generation) and shares notebooks, examples, and insights into how to design effective prompts, iterate them, and integrate them into workflows. The material is both conceptual (why prompts matter, how to think of them) and practical (code notebooks, examples). ... -
13
PyRewrite Plus
PyRewrite Plus - Modifed Version of PyRewrite
â PyRewrite Plus - modified/improved version of telegram user bot called PyRewrite. đThe project is fully open source. đCreated with the permission of the author. đHas many useful features/fixes that are not in the original. (For example: Improved .info command, .ping command, .type command changed to .anim with more styles, fixed .restart, etc.) đHas handy documentation. (Not complete yet) Useful links: đDocs (Not complete yet): https://sourceforge.net/p/pyrewrite-plus/wiki/Home/ đOriginal author channel with plugins: https://t.me/pyrewrite đWebsite with plugins: Soon... ... -
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Self-learning-Computer-Science
Resources to learn computer science in your spare time
Self-learning Computer Science is a curated, open-source guide repository designed to help learners independently study computer science topics using high-quality university-level resources. The author (an undergraduate CS student) assembled links to courses from institutions like MIT, UC Berkeley, Stanford, etc., covering mathematics, programming, data structures/algorithms, computer architecture, machine learning, software engineering and more. Itâs aimed at learners who find traditional course structures restrictive and want a flexible, self-paced path through CS, with a focus on building depth and breadth rather than shortcut exam skills. ... -
15
tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
tf2_course provides the notebooks for the âDeep Learning with TensorFlow 2 and Kerasâ course authored by the same author, AurĂ©lien GĂ©ron. It is structured as a teaching toolkit: youâll find notebooks covering neural networks with Keras, lower-level TensorFlow APIs, data loading & preprocessing, convolutional and recurrent networks, and deployment/distribution of models. The material is intended for learners who already have foundational knowledge of ML and wish to deepen their understanding of deep learning frameworks and practices. ... -
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Sentiment dataset of Algerian dialect
Dataset of 11760 sentiment comments written in Algerian dialect
... * Value â1â is attributed for Positive review / value â0â attributed for Negative review. * Due to the nature of this Dataset, some comments contain offensive language. This does not reflect author values, however the aim is to providing a resource to help in analysing positive and negative sentiments (that probably containing harmful content). * For more information please contact (@Ahmed Cherif Mazari) : mazari.ac@gmail.com) -
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bert4keras
Keras implement of transformers for humans
Our light reimplementation of bert for keras. A cleaner, lighter version of bert for keras. This is the keras version of the transformer model library re-implemented by the author and is committed to combining transformer and keras with as clean code as possible. The original intention of this project is for the convenience of modification and customization, so it may be updated frequently. Load the pre-trained weights of bert/roberta/albert for fine-tune. Implement the attention mask required by the language model and seq2seq. ... -
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Hands-on Unsupervised Learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
...Unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel provides practical knowledge on how to apply unsupervised learning using two simple, production-ready Python frameworks - scikit-learn and TensorFlow. With the hands-on examples and code provided, you will identify difficult-to-find patterns in data. -
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Isolation Similarity
aNNE similarity based on Isolation Kernel
...https://ojs.aaai.org//index.php/AAAI/article/view/4402 Bibtex format: @inproceedings{qin2019nearest, title={Nearest-neighbour-induced isolation similarity and its impact on density-based clustering}, author={Qin, Xiaoyu and Ting, Kai Ming and Zhu, Ye and Lee, Vincent CS}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, volume={33}, pages={4755--4762}, year={2019} } -
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Ad Generator
Professional text randomizer and ad generator by Airat Khalitov
Professional text randomizer and ad generator by Airat Khalitov / Professional text randomizer and ad generator. Author: Airat Halitov. Visit 'Plugins, Add New', click 'Upload Plugin', upload the file 'ad-generator.zip', and activate Ad Generator from your Plugins page. Add [ad_generator] shortcode to WordPress Page. Create a new WordPress Page, add [ad_generator] shortcode and save. Go to the page and use the ad generator. This is a program for industrial creation of pseudo-unique content. ... -
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Computer Science Books
Computer Science Books Computer Technology Books PDF
The books in this warehouse come from the Internet, and the copyright belongs to the original author. It is not for profit, but only for learning and use. If there is any infringement, please contact us. -
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C++Builder Face Recognition March01_2019
C++Builder Face Recognition
...ADDED 64_BIT + TBB HARD BOILED FACE RECOGNITION: https://sourceforge.net/projects/cbuilder-face-recognizer/ page not found for hard core c++Builder, contact author! https://sourceforge.net/projects/delphi-face-recognizer/ C++Builder Face Detection: FREE Source code! https://sourceforge.net/p/cbuilder-opencv-face-detection/ For Live: Face Attendance System, Facial Emotion, Gender Recognition Works on IP Camera using RTSP. ---> After you Donate, message or mail at dbinXecod@gmail.com ---> Runs on Windows XP to Windows 10 using SQLite Dataface! ... -
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DC-TTS
TensorFlow Implementation of DC-TTS: yet another text-to-speech model
DC-TTS is a TensorFlow implementation of the DC-TTS architecture, a fully convolutional text-to-speech system designed to be efficiently trainable while producing natural speech. It follows the âEfficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attentionâ paper, but the author adapts and extends the design to make it practical for real experiments. The model is split into two networks: Text2Mel, which maps text to mel-spectrograms, and SSRN (spectrogram super-resolution network), which converts low-resolution mel-spectrograms into high-resolution magnitude spectrograms suitable for waveform synthesis. ... -
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Mass-based dissimilarity
A data dependent dissimilarity measure based on mass estimation.
...For commercial projects, it is possible to obtain a commercial license through the Commercial Services of Federation University Australia. Please email the first author of the original paper tingkm@nju.edu.cn for any inquiries about this software. -
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Persica-A new Persian corpus for NLP
This project presents a new corpus for NEWS text analysis in Persian
...Please use this reference to cite us: @inproceedings{eghbalzadeh2012persica, title={Persica: A Persian corpus for multi-purpose text mining and Natural language processing}, author={Eghbalzadeh, Hamid and Hosseini, Behrooz and Khadivi, Shahram and Khodabakhsh, Ali}, booktitle={Telecommunications (IST), 2012 Sixth International Symposium on}, pages={1207--1214}, year={2012}, organization={IEEE} }
