Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 67
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Showing 2747 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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Quality and compliance software for growing life science companiesAutomate gap analysis across FDA, ISO 13485, MDR, and 28+ regulatory standards. Cross-map evidence once, reuse across submissions. Get real-time risk alerts and board-ready dashboards, so you can expand into new markets with confidence
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Safety Compliance Made EasyIdeally designed for business that deals with Construction, Oil & Gas, Mining, Manufacturing, Mechanical, Electrical, Plumbing, Heating, and Excavating, SiteDocs is a perfect solution for any size business looking to modernize the way Safety Compliance is organized.
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...It supports remote controls, sensor devices, power switches/dimmers, e-mail, text-to-speech conversion, media players and many more. Graphic symbols of functional objects can be interconnected to exchange and process data.
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CPT
CPT: A Pre-Trained Unbalanced Transformer
A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV. Position Embeddings We extend the max_position_embeddings from 512 to 1024. We initialize the new version of models with the old version of checkpoints with vocabulary alignment. ... -
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TextBox
A text generation library with pre-trained language models github.com
...From a model perspective, we incorporate 47 pre-trained language models/modules covering the categories of general, translation, Chinese, dialogue, controllable, distilled, prompting, and lightweight models (modules). From a training perspective, we support 4 pre-training objectives and 4 efficient and robust training strategies, such as distributed data parallel and efficient generation. Compared with the previous version of TextBox, this extension mainly focuses on building a unified, flexible, and standardized framework for better supporting PLM-based text generation models. -
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Greed
Customizable, multilanguage Telegram shop bot with Payments support
Customizable and multilanguage Telegram shop bot with Telegram Payments support. -
Odoo Business ApplicationsOdoo is a fully integrated, customizable, open-source software packed with hundreds of expertly designed business applications. Odoo’s intuitive database is able to meet a majority of business needs, such as: CRM, Sales, Project, Manufacturing, Inventory, and Accounting, just to name a few.
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django-telegram-bot
My sexy Django + python-telegram-bot + Celery + Redis + Postgres
Sexy Django + python-telegram-bot + Celery + Redis + Postgres + Dokku + GitHub Actions template. Production-ready Telegram bot with database, admin panel and a bunch of useful built-in methods. -
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2020 Machine Learning Roadmap
A roadmap connecting many of the most important concepts
...The repository organizes machine learning knowledge into a structured roadmap that helps learners understand how different concepts connect within the field. It outlines the typical workflow of solving machine learning problems, starting from problem formulation and data preparation to model training and evaluation. The roadmap also highlights the major technologies and frameworks commonly used in machine learning development. In addition to describing technical tools, the project includes recommended learning resources that help users study the underlying mathematics and algorithms behind machine learning systems. ... -
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Karate Club
An API Oriented Open-source Python Framework for Unsupervised Learning
Karate Club is an unsupervised machine learning extension library for NetworkX. Karate Club consists of state-of-the-art methods to do unsupervised learning on graph-structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science (NetSci, Complenet), data mining (ICDM, CIKM, KDD), artificial intelligence (AAAI, IJCAI) and machine learning (NeurIPS, ICML, ICLR) conferences, workshops, and pieces from prominent journals. -
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Super-PDF-Editor
World's most comprehensive, powerful, process-based PDF editor
...Also, improve image enhancement before OCR operation for better OCR performance. pdf Imposition, etc. Super PDF Editor is best for bulk pdf processing, especially for the printing industry. Easy pdf imposition, booklet, n ups pages, and more. OCR performs in pdf files, scanned pdf files and any pdf files. OCR performs in image files, and supports multiple image formats. Auto and manual image enhancement for better OCR accuracy and quality. Supports 165+ languages with three languages data set. Use Multiple Languages at once. International Languages: 127 Languages, High, Medium, and Fast Quality. ... -
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File-sharing-Bot
Telegram Bot to store Posts and Documents
Telegram Bot to store posts and documents and it can be accessed by special links. -
Smarter Packing Decisions for Retailers and 3PLsPaccurate is the only patented cartonization solution that optimizes for transportation costs directly. So you can have the right boxes, and control how they're packed.
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Super-PDF-Editor-Lite
World's most comprehensive, powerful, process-based PDF editor
...OCR performs in pdf files, scanned pdf files and any pdf files. OCR performs in image files, and supports multiple image formats. Auto and manual image enhancement for better OCR accuracy and quality. Supports 165+ languages with three languages data set. Use Multiple Languages at once. International Languages: 127 Languages, High, Medium, and Fast Quality. -
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LSTMs for Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone
LSTM-Human-Activity-Recognition is a machine learning project that demonstrates how recurrent neural networks can be used to recognize human activities from sensor data. The repository implements a deep learning model based on Long Short-Term Memory (LSTM) networks to classify physical activities using time-series data collected from wearable sensors. The project uses the well-known Human Activity Recognition dataset derived from smartphone accelerometer and gyroscope signals. Through the use of sequential neural network architectures, the system learns patterns in motion data that correspond to activities such as walking, sitting, standing, or climbing stairs. ... -
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Fuzzy Logic Tools (FLT) is a C++ framework for storage, analysis and design of fully general multiple-input multiple-output (MIMO) Takagi-Sugeno fuzzy control systems, without constraints in the order of either the inputs or the output vectors.
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AppShark
Static taint analysis platform to scan vulnerabilities
AppShark is an open-source static taint-analysis platform developed by ByteDance designed to scan Android application packages (APKs) for potential security or privacy vulnerabilities. It performs code analysis without executing the app — inspecting APK contents, tracking data flows (taints), and detecting risky patterns such as insecure file access, unsafe API usage, resource-leak possibilities, or misconfigurations. Users can customize scanning via rule sets (written in JSON), defining which types of vulnerabilities or compliance issues to detect — making AppShark flexible and adaptable to different security policies or threat models. ... -
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Data Science Collected Resources
Carefully curated resource links for data science in one place
Data Science Collected Resources is a curated collection of learning materials and reference links covering a wide range of topics in data science, artificial intelligence, and machine learning. The repository aggregates educational resources from research articles, technical blogs, tutorials, and documentation into a single organized knowledge hub. -
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pdf-extractor
Node.js module for rendering pdf pages to images, svgs and HTML files
Pdf-extractor is a wrapper around pdf.js to generate images, svgs, html files, text files and json files from a pdf on node.js. A DOM Canvas is used to render and export the graphical layer of the pdf. Canvas exports *.png as a default but can be extended to export to other file types like .jpg. Pdf objects are converted to svg using the SVGGraphics parser of pdf.js. Pdf text is converted to HTML. This can be used as a (transparent) layer over the image to enable text selection. ... -
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Machine Learning Git Codebook
For extensive instructor led learning
Machine Learning Git Codebook is an educational repository that provides a structured introduction to data science and machine learning concepts through a series of interactive notebooks and practical examples. The project is designed as a self-paced learning resource that walks learners through the full data science workflow, including data preprocessing, exploratory analysis, feature engineering, and model development. It covers a wide range of machine learning techniques such as decision trees, clustering methods, nearest neighbor algorithms, anomaly detection, and probabilistic classifiers. ... -
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BCI
BCI: Breast Cancer Immunohistochemical Image Generation
...The routine evaluation of HER2 is conducted with immunohistochemical techniques (IHC), which is very expensive. Therefore, for the first time, we propose a breast cancer immunohistochemical (BCI) benchmark attempting to synthesize IHC data directly with the paired hematoxylin and eosin (HE) stained images. -
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MANTI
MANTI - Mastering Advanced N-Termini Interpretation
...MANTI was previously (un)known as muda.pl ahead of v3.7, the project was renamed to MANTI.pl with v3.7 on 2019-06-24. It congregates information from different MaxQuant or DiaNN/MSFragger output files into a master file suitable explicitly for protein neo-termini analyses. The central anchor for the data congregation is the modificationSpecificPeptides.txt or diann-output.pr_matrix.tsv file - additional data is inferred from different other source files from the corresponding folder. Maybe also useful for normal proteomics purposes but this script is heavily optimized for protein neo-termini identification and validation. ... -
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DialoGPT
Large-scale pretraining for dialogue
DialoGPT is an open-source conversational language model developed by Microsoft Research for generating natural dialogue responses using large-scale transformer architectures. The system is built on the GPT-2 architecture and is designed specifically for multi-turn conversation tasks, enabling machines to produce coherent responses during interactive dialogue. The model was trained on a massive dataset of approximately 147 million conversational exchanges extracted from Reddit discussion... -
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AllenNLP
An open-source NLP research library, built on PyTorch
AllenNLP makes it easy to design and evaluate new deep learning models for nearly any NLP problem, along with the infrastructure to easily run them in the cloud or on your laptop. AllenNLP includes reference implementations of high quality models for both core NLP problems (e.g. semantic role labeling) and NLP applications (e.g. textual entailment). AllenNLP supports loading "plugins" dynamically. A plugin is just a Python package that provides custom registered classes or additional... -
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cortex
Production infrastructure for machine learning at scale
...The framework provides infrastructure tools that allow developers to transform trained machine learning models into scalable web services. Cortex handles many operational challenges associated with deploying AI systems, such as managing dependencies, orchestrating data pipelines, and scaling services under load. Developers can define machine learning pipelines as code using declarative configuration files, which simplifies the process of managing complex ML workflows. The platform supports integration with cloud environments and container orchestration systems so that applications can scale dynamically based on demand. ... -
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SGX-Full-OrderBook-Tick-Data-Trading
Providing the solutions for high-frequency trading (HFT) strategies
SGX-Full-OrderBook-Tick-Data-Trading-Strategy is an open-source research project focused on modeling high-frequency financial market behavior using machine learning techniques. The repository analyzes tick-level order book data from the Singapore Exchange and attempts to capture the dynamics of limit order book movements. By extracting features such as order depth ratios and price movement indicators, the system trains machine learning models to predict short-term market changes. ... -
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Pigo
Fast face detection, pupil/eyes localization
Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go. Pigo is a pure Go face detection, pupil/eyes localization and facial landmark points detection library based on the Pixel Intensity Comparison-based Object detection paper. The reason why Pigo has been developed is because almost all of the currently existing solutions for face detection in the Go ecosystem are purely bindings to some C/C++ libraries like OpenCV or dlib, but calling a C... -
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Codeball AI
AI Code Review that finds bugs and fast-tracks your code
Codeball is a code review AI that scores pull requests on a grade from 0 (needs careful review) to 1. Use Codeball to add labels to help you focus, auto-approve PRs, and more. The Codeball action is easy to use (sane defaults) and is highly customizable to fit your workflow when needed. Label PRs when you should review them with caution. Stay sharp, don't let the bugs pass through. Identifies and approves or labels safe PRs. -
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OmicSelector
Feature selection and deep learning modeling for omic biomarker study
OmicSelector is an environment, Docker-based web application, and R package for biomarker signature selection (feature selection) from high-throughput experiments and others. It was initially developed for miRNA-seq (small RNA, smRNA-seq; hence the name was miRNAselector), RNA-seq and qPCR, but can be applied for every problem where numeric features should be selected to counteract overfitting of the models. Using our tool, you can choose features, like miRNAs, with the most significant...
