Search Results for "data capture framework" - Page 5
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Showing 188 open source projects for "data capture framework"
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gradslam
gradslam is an open source differentiable dense SLAM library
gradslam is an open-source framework providing differentiable building blocks for simultaneous localization and mapping (SLAM) systems. We enable the usage of dense SLAM subsystems from the comfort of PyTorch. The question of “representation” is central in the context of dense simultaneous localization and mapping (SLAM). Newer learning-based approaches have the potential to leverage data or task performance to directly inform the choice of representation. -
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Essentials
General purpose utilities and hash functions for Android and Java
Essentials is a lightweight collection of high-performance utility classes designed to enhance standard Java and Android development without introducing heavy dependencies. The library focuses on providing efficient data structures and helper utilities that often outperform equivalent components in the standard Java API. It is intentionally minimalistic and is not positioned as a full framework, but rather as a focused toolkit that fills common gaps developers encounter in everyday projects. Essentials emphasizes speed and low footprint, with components such as LongHashMap delivering measurable performance improvements over standard implementations. ... -
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Reactive MVVM
My way to MVVM using KotlinX Coroutines and Android data-binding
My way to MVVM using KotlinX Coroutines with Android data binding. Use MVVM using architecture components with to separate Android Framework with a clean architecture to my domain logic. Use Android Databinding with LiveData to glue ViewModel and Android. -
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SentEval
A python tool for evaluating the quality of sentence embeddings
...It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic structure. Datasets are wrapped with unified preprocessing and metrics so results are comparable across papers and implementations. Because the interface is minimal, researchers can plug in encoders from any framework or language model and obtain a broad evaluation with little glue code. ... -
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Json Node Tree Library
Represents JSON doc as a nodes tree for transforms like XPATH & XSLT.
Json Node Tree framework is provisioning of transformation operations for JSON documents similar XML XPATH and XSLT. The framework parses textual JSON document to nodes tree that represents JSON entity: object, array or value of primitive type. Generated tree allows to modify values of nodes and/or structure of the given JSON document. Representation of JSON object as a nodes tree allows implement an operations such as path query and transformations (like XPATH and XSLT for XML). -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML. MMdnn is a comprehensive and cross-framework tool to convert, visualize and diagnose deep learning (DL) models. The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks,... -
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.Net Runtime Library for Delphi
This is the best library to work with the .Net framework from Delphi.
The .Net Runtime Library for Delphi (CNClrLibrary) is the best library to work with .Net framework and .Net libraries from Delphi. It is designed to provide a way to interact with applications written in anyone of the .Net languages (such as C#, Visual Basic.Net, Delphi.Net, JScript.Net, etc) from Delphi. CNClrLibrary allows Delphi to use .Net libraries without the need for registry entries, COM registrations, or changes to the .NET libraries. Competitive Advantages: - No extra dll... -
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable... -
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React Charts
Simple, immersive & interactive charts for React
TanStack React-Charts is a headless React library focused on composable, customizable, and performant charting components, providing flexible chart primitives without imposing styling or rendering constraints. Simple, immersive and interactive charts for React. Extensible with custom rendering layers and styles. Supports various chart types (line, bar, pie, etc.) -
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WebRTC Android
webrtc VideoCall VideoConference
WebRTC Android is a sample project that showcases how to implement real-time peer-to-peer communication (audio, video, and data) on Android using WebRTC. It demonstrates a complete pipeline—from signaling and connection setup to media capture and transmission—making it an excellent reference for developers looking to integrate WebRTC into their mobile apps. The project includes UI components and handles network state changes, codec configuration, and ICE negotiation to provide a robust base for real-world applications. -
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Graph Nets library
Build Graph Nets in Tensorflow
Graph Nets, developed by Google DeepMind, is a Python library designed for constructing and training graph neural networks (GNNs) using TensorFlow and Sonnet. It provides a high-level, flexible framework for building neural architectures that operate directly on graph-structured data. A graph network takes graphs as inputs, consisting of edges, nodes, and global attributes, and produces updated graphs with modified feature representations at each level. This library implements the foundational ideas from DeepMind’s paper “Relational Inductive Biases, Deep Learning, and Graph Networks”, offering tools to explore relational reasoning and message-passing neural networks. ... -
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LimeReport
Report generator for Qt Framework
...As a data source developer can use SQL database or data passed from application using QAbstractTableModel interface. Besides one can initialize variables which available as database request parameters. LimeReport goal is to provide your application with functionaly abundant and at the same time simple to use tool for a report generation to be used even by inexperienced in IT users. -
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easy_profiler
Lightweight profiler library for c++
Lightweight cross-platform profiler library for C++. You can profile any function in your code. Furthermore, this library provides measuring time of any block of code. For example, information for 12 millions of blocks is using less than 300Mb of memory. Working profiler slows your application execution for only 1-2%. The average overhead per block is about 15ns/block (tested on Intel Core i7-5930K 3.5GHz, Win7). Disabled profiler will not affect your application execution in any way. You... -
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Incremental DOM
An in-place DOM diffing library
...It integrates naturally with template compilers (such as those that generate calls from HTML-like markup) but can also be used by hand for fine-tuned rendering. The library is small and focused: it manages element creation, attribute updates, and text nodes while leaving state management and data flow to the host framework. The result is predictable updates with minimal overhead, especially useful in performance-critical views. -
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I3D models trained on Kinetics
Convolutional neural network model for video classification
...The project provides TensorFlow and Sonnet-based implementations, pretrained checkpoints, and example scripts for evaluating or fine-tuning models. It also offers sample data, including preprocessed video frames and optical flow arrays, to demonstrate how to run inference and visualize outputs. -
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benchm-ml
A benchmark of commonly used open source implementations
This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different implementations. ... -
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JSVerbalExpressions
JavaScript Regular expressions made easy
VerbalExpressions is a JavaScript library that helps to construct difficult regular expressions. Methods have a return type of VerbalExpression except where mentioned otherwise. If there is no mention of a method’s parameters, it is to be assumed that it has none. VerEx is the function that is exported from within VerbalExpressions.js and is to be the first method in chains that describe verbal expressions. Construct and return a new instance of VerbalExpression. Used to support the new... -
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TenorSpace.js
Neural network 3D visualization framework
...After preprocessing the model, TensorSpace supports the visualization of pre-trained models from TensorFlow, Keras and TensorFlow.js. TensorSpace is a neural network 3D visualization framework designed for not only showing the basic model structure but also presenting the processes of internal feature abstractions, intermediate data manipulations and final inference generations. By applying TensorSpace API, it is more intuitive to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, etc. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. ... -
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ConcatPDF
PDF Concatenation Tool
ConcatPDF is the tool to concatenate PDF files. It can concatenate, extract, encrypt, decrypt, configure PDF files, convert image files to PDF. GUI version and CUI version are both available. iText.NET is iText porting on .NET Framework by J#. This library allows you to generate PDF, (X)HTML, XML, RTF files on Microsoft.NET Framework including ASP.NET. -
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Advanced RecyclerView
RecyclerView extension library which provides advanced features
This RecyclerView extension library provides Google's Inbox app like swiping, Play Music app like drag-and-drop sorting and expandable item features. Works on API level 14 or later. Reduces library conflicts, easy to integrate with existing code. Looks difficult at a glance, but gives great flexibility like the original RecyclerView. Swipe dismiss and swipe pinning operation. (like Google's Inbox app). Smooth item reordering with linear list (LinearLayoutManager). It behaves like the... -
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PHPExcel
Library offering classes to read from and write to spreadsheet formats
PHPExcel is a comprehensive library for reading, writing, and manipulating Excel spreadsheets in PHP, supporting multiple formats like XLS, XLSX, CSV, and more. Developers can create complex spreadsheets with styled cells, formulas, charts, images, and multiple sheets programmatically. It also supports reading existing files, iterating through cells, applying data validation, and converting between formats. Because it handles the details of Excel file structures—including relationships,... -
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SFD
S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017
S³FD (Single Shot Scale-invariant Face Detector) is a real-time face detection framework designed to handle faces of various sizes with high accuracy using a single deep neural network. Developed by Shifeng Zhang, S³FD introduces a scale-compensation anchor matching strategy and enhanced detection architecture that makes it especially effective for detecting small faces—a long-standing challenge in face detection research. The project builds upon the SSD framework in Caffe, with... -
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Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). ... -
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HandyJSON
A handy swift json-object serialization/deserialization library
HandyJSON is a framework written in Swift which makes converting model objects( pure classes/structs ) to and from JSON easy on iOS. Compared with others, the most significant feature of HandyJSON is that it does not require the objects inherit from NSObject(not using KVC but reflection), nor implements a 'mapping' function(writing value to memory directly to achieve property assignment). HandyJSON is totally dependent on the memory layout rules inferred from Swift runtime code. We are...
