Search Results for "classification" - Page 7
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Showing 773 open source projects for "classification"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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MobileNetV2
SSD-based object detection model trained on Open Images V4
...It is based on an inverted residual structure that allows for faster computation and fewer parameters, making it ideal for real-time applications on resource-constrained devices. MobileNetV2 is commonly used for image classification, object detection, and other computer vision tasks, achieving high accuracy while maintaining a small memory footprint. It also supports TensorFlow Lite for mobile device deployment, ensuring that developers can leverage its performance on a wide range of platforms. -
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Zero to Mastery Deep Learning TensorFlow
All course materials for the Zero to Mastery Deep Learning with TF
...It is structured as a series of progressively complex Jupyter notebooks that emphasize writing and understanding code before diving into theory, reinforcing learning through repetition and application. The material covers core machine learning workflows including regression, classification, computer vision, natural language processing, and time series forecasting, allowing users to build a well-rounded understanding of modern AI tasks. It also integrates milestone projects that simulate real-world scenarios, helping users translate abstract concepts into deployable solutions. -
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TEXminer
Text Mining Classification for Texts in ASCII, Unicode and PDF Format.
...TEXminer allows Language Detection by Letter Frequency Analysis, finding important Words by Cooccurrence Analysis, Determination of Central Expressions, Thematic Text Classification (also Semantic Groups) Fingerprint Comparison and Word Frequency. Because TEXminer is not disigned to have a Reference Corpus, Thematic Model Statistics uses Language Models (lexicons) to have Background Knowledge about certain Languages (English, German, French, Spanish, Italian, Russian), which are derived from Decaleon Project. ... -
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MOA - Massive Online Analysis
Big Data Stream Analytics Framework.
A framework for learning from a continuous supply of examples, a data stream. Includes classification, regression, clustering, outlier detection and recommender systems. Related to the WEKA project, also written in Java, while scaling to adaptive large scale machine learning. -
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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MATLAB Deep Learning Model Hub
Discover pretrained models for deep learning in MATLAB
Discover pre-trained models for deep learning in MATLAB. Pretrained image classification networks have already learned to extract powerful and informative features from natural images. Use them as a starting point to learn a new task using transfer learning. Inputs are RGB images, the output is the predicted label and score. -
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HomeBank
Free, easy, personal accounting for everyone
«HomeBank» is the software you have always wanted to manage your personal accounts. It brings you many features to analyze your finances in a detailed way instantly and dynamically with powerfull report tools based on filtering and graphical charts. -
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DiskBoss
File management, file sync, and data wiping tool
DiskBoss is an automated, rule-based data management and analysis solution designed to give users complete control over their storage environments. It enables advanced disk space analysis, file classification, duplicate detection, and secure cleanup operations — all within a fast and customizable interface. The software supports high-speed file synchronization and secure data migration, ensuring reliability and data integrity across systems. Users can create automated policies to perform real-time disk monitoring, scheduled cleanups, and bulk file operations with minimal manual effort. ... -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a... -
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Alibi Explain
Algorithms for explaining machine learning models
Alibi is a Python library aimed at machine learning model inspection and interpretation. The focus of the library is to provide high-quality implementations of black-box, white-box, local and global explanation methods for classification and regression models. -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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Prompt Engineering Interactive Tutorial
Anthropic's Interactive Prompt Engineering Tutorial
...The course leans heavily on realistic failure modes (ambiguity, hallucination, brittle instructions) and shows how to iteratively debug prompts the way you would debug code. Lessons include building prompts from scratch for common tasks like extraction, classification, transformation, and step-by-step reasoning, with checkpoints that let you compare your outputs against solid baselines. You’ll also practice advanced patterns such as tool use, constrained generation, and response validation so outputs are trustworthy and machine-consumable. -
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DeepSeek AIO
Access and use all DeepSeek AI models in one program.
DeepSeek AIO is a simple program that allows you to interact with all DeepSeek large language models in one place. It supports text-based chats, data analysis, code generation, language translation, and more. The program is designed to make it easy for users to use DeepSeek's AI tools for different purposes without switching between multiple platforms. -
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Text Game
Text games written in Pascal
Text games written in Pascal. The programs can be compiled by Pascal/MT+ (CP/M) and Turbo Pascal (DOS). -
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modnlp
Modular Suite of NLP Tools
...It provides an API and tools for (inverted) indexing, storage and retrieval of large amounts of text, with (XML-based) handling of meta-data, tools for text categorisation, including, functionality for XML parsing, term set reduction (and basic keyword extraction), probabilistic classifier induction, sample classification tools, and evaluation modules, a suite of corpus management, curation and distributed access tools. If you use the tool please consider referencing it using the following article: Luz, S., & Sheehan, S. (2020). Methods and visualization tools for the analysis of medical, political and scientific concepts in Genealogies of Knowledge. ... -
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FeAture Explorer (FAE), a radiomics (or medical analysis) tool that helps radiologists extract features, preprocess feature matrix, develop machine learning models (Binary Classification & Survival Analysis) with one-click, and evaluate models qualitatively and quantitatively. This project was inspired on the Radiomics, and provides a GUI with convenient process. FAE was initially developed by East China Normal University and Siemens Healthineers Ltd. If FAE could help in your project, We appreciate that you could cite this work: FeAture Explorer (FAE): A tool for developing and comparing radiomics models. ...
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AudioEnhancerMAX
Open-source AI audio processing suite: 100% local, free, no limits.
AudioEnhancerMAX is the open-source AI-powered audio media center for podcasters, creators, and professionals. It runs 100% locally on your hardware — no cloud, no subscriptions, no limits. Features: 16+ intelligent audio filters (AI noise removal, filler word detection, breath reduction, studio sound, audio super-resolution), Gemma 4 AI dynamic parameter tuning, distributed edge computing across Android smartphones, real-time system monitoring for Apple Silicon. Built with FastAPI,... -
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Bit-Twist (Packet generator/editor)
Packet generator and packet editor for Windows, Linux, BSD, and macOS
Supported systems: Windows, Linux, BSD, and macOS. Bit-Twist is a simple yet powerful libpcap-based Ethernet packet generator and packet editor. It is designed to complement tcpdump, which by itself has done a great job at capturing network traffic. With Bit-Twist, you can now regenerate your captured traffic onto a live network! Packets are generated from tcpdump trace file (.pcap file). Bit-Twist comes with a comprehensive trace file editor to allow you to change the contents of a... -
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UAVs Predictive Maintenance
Vibration-Based Structural Health Monitoring of UAVs
...The system collects time-domain vibration data from UAV components during the pre-flight phase and applies deep learning architectures—including Gated Recurrent Units (GRUs), Long Short-Term Memory networks (LSTMs), and Convolutional Neural Networks (CNNs)—for accurate fault classification. Communication with the UAV is handled through the DroneKit-Python API, while RESTful APIs interface with the Aras Innovator PLM platform to automate data exchange and support predictive maintenance. Upon detecting anomalies, the application triggers safety protocols, such as UAV disarming and automatic maintenance request generation. -
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FSGSproteomics
Protepmics of Kidney biopsy tissues
Background: Focal segmental glomerulosclerosis (FSGS) is a clinicopathological syndrome manifesting glucocorticoid-resistant nephrosis, which requires new therapies targeting specific pathways. The Columbia classification stratifies FSGS into 5 variants: Collapsing, Tip, Cellular, Perihilar and NOS. Differences in their renal prognosis imply distinct underlying molecular mechanisms, which remain unclear. Objective: To investigate factors associated with the pathogenesis of FSGS and explore potential therapeutic targets. Methods: A total of 73 kidney biopsy tissues were analyzed by LC-MS/MS: FSGS (n=23), renal donors (n=14) as a healthy control group, and minimal change disease (n=15) and IgA nephropathy (n=21) as disease control groups. ... -
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ConceptBase.cc
A Database System for Metamodeling and Method Engineering
ConceptBase.cc is a multi-user deductive and object-oriented database system for metamodeling and method engineering. Includes a graphical client that builds upon the logic-based features of the ConceptBase.cc server. The data model is O-Telos. ConceptBase.cc can represent information at the data level (example data, traces of process executions etc.), the class level (schemas, process definitions etc.), the metaclass level (constructs of modeling languages), the meta-metaclass level... -
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torchtext
Data loaders and abstractions for text and NLP
...A simple way is to build PyTorch from source and use the same environment to build torchtext. If you are using the nightly build of PyTorch, check out the environment it was built with conda (here) and pip (here). Text classification: SST2, AG_NEWS, SogouNews, DBpedia, YelpReviewPolarity, YelpReviewFull, YahooAnswers, AmazonReviewPolarity, AmazonReviewFull, IMDB, etc. -
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dibnn
Drop In the Bucket Neural Networks
One more lightweight neural network in C. -
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Universal Sentence Encoder
Encoder of greater-than-word length text trained on a variety of data
The Universal Sentence Encoder (USE) is a pre-trained deep learning model designed to encode sentences into fixed-length embeddings for use in various natural language processing (NLP) tasks. It leverages Transformer and Deep Averaging Network (DAN) architectures to generate embeddings that capture the semantic meaning of sentences. The model is designed for tasks like sentiment analysis, semantic textual similarity, and clustering, and provides high-quality sentence representations in a... -
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PoseidonQ - AI/ML Based QSAR Modeling
ML based QSAR Modelling And Translation of Model to Deployable WebApps
- This Software was made with an intention to make QSAR/QSPR development more efficient and reproducible. - Published in ACS, Journal of Chemical Information and Modeling . Link : https://pubs.acs.org/doi/10.1021/acs.jcim.4c02372 - Simple to use and no compromise on essential features necessary to make reliable QSAR models. - From Generating Reliable ML Based QSAR Models to Developing Your Own QSAR WebApp. For any feedback or queries, contact kabeermuzammil614@gmail.com - Available on... -
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Flying-Bird-Wallpaper
Flying Bird Wallpaper is a feature-rich desktop wallpaper application
Flying Bird Wallpaper is a feature-rich desktop wallpaper application that supports multiple wallpaper types including images, videos, rhythm wallpapers, and solid colors, making your desktop unique and vibrant. -
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pic-standard
Local protocol for safe agentic AI. Intent + impact + verifiable
...Lightweight, it adds machine-verifiable contracts to agent calls and actions and it is particularly efective at shielding the agent from propmpt-injection. Before any high-impact tool call, the agent must submit an Action Proposal (schema + verifier): - explicit intent - impact classification (read / write / money / irreversible / privacy / etc.) - provenance sources with trust levels (untrusted → trusted via verification) - claims backed by verifiable evidence (SHA-256 file hashes or Ed25519 signatures) If trust/evidence is insufficient, it fails closed and blocks the action. Current version features: - Deterministic Hash Evidence verification (SHA-256) - Signature evidence (Ed25519) - Keyring expiry + revocation - CLI keys - MCP and LangGraph integrations - Comprehensive tests, examples, and documentation
