Search Results for "vectors" - Page 2
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Showing 49 open source projects for "vectors"
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Vector AI
A platform for building vector based applications
Vector AI is a framework designed to make the process of building production-grade vector-based applications as quick and easily as possible. Create, store, manipulate, search and analyze vectors alongside json documents to power applications such as neural search, semantic search, personalized recommendations etc. Image2Vec, Audio2Vec, etc (Any data can be turned into vectors through machine learning). Store your vectors alongside documents without having to do a db lookup for metadata about the vectors. Enable searching of vectors and rich multimedia with vector similarity search. ... -
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3d Linear Transformation Visualization
Visualize 3d linear transformations.
...For visualizing this we can transform a vector, but it has an obvious problem, because the linear transformation transform the whole space, not just the vector, in other words it transforms the basis vectors thus every vector in the space gets transformed too. That's why i created this app so everyone can see how a transformation matrix change the whole space. -
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SentEval
A python tool for evaluating the quality of sentence embeddings
SentEval is a standardized toolkit for evaluating sentence embeddings across a wide spectrum of downstream tasks and probing tests. 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. ... -
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GluonNLP
NLP made easy
...Fasttext models trained with the library of Facebook research are exported both in text and a binary format. Unlike the text format, the binary format preserves information about subword units and consequently supports the computation of word vectors for words unknown during training (and not included in the text format). Besides training new fastText embeddings with Gluon NLP it is also possible to load the binary format into a Block provided by the Gluon NLP toolkit. -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
...Now you've setup your pipeline, you may want to ensure that some functions run deterministically. Wrap any code that's random, with fork_rng and you'll be good to go. Now that you've computed your vocabulary, you may want to make use of pre-trained word vectors to set your embeddings. -
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platformids
OS and Distribution Release Enumeration
...This enables the development of portable generic code for arbitrary platforms in IT and IoT landscapes consisting of heterogeneous physical and virtual runtime environments. The introduced hierarchical bitmask vectors enable for fast and efficient platform specific code and data selection for OS and distributions with routines for specific platform releases. The supported version numbering comprise various release schemes such as classical version numbers with variable segments and optional release names, * AlpineLinux-3.8.1 * CentOS-6.10 * Debian-9.6 * Fedora31 * OS-X-10.6.8 * Ubuntu-18.04 * armbian-5.76 * cygwin-2.9.0 * opensuse-15.1 * raspbian-9.4 * slackware-14.2 * solaris-11.3 variations of numbering schemes and continous deployment * CentOS-7.6-1810 * NT-6.3.9600 * archlinux-2018.12.01 * kali-linux-2019.1 * NT-10.0.1809 -
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InferSent
InferSent sentence embeddings
InferSent is a supervised sentence embedding method that learns universal representations from Natural Language Inference data and transfers well to many downstream tasks. It uses a BiLSTM encoder with max-pooling to produce fixed-length sentence vectors that capture semantics beyond bag-of-words statistics. Trained on large NLI datasets, the embeddings generalize across tasks like sentiment analysis, entailment, paraphrase detection, and semantic similarity with simple linear classifiers. The repository provides pretrained vectors, training scripts, and clear examples for evaluating transfer on a wide suite of benchmarks. ... -
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Dynamic Routing Between Capsules
A PyTorch implementation of the NIPS 2017 paper
...Capsule networks aim to improve how neural models represent spatial hierarchies and relationships between objects within images. Instead of scalar neuron activations, capsules output vectors that encode both the presence of features and their spatial properties such as orientation or pose. The repository implements the dynamic routing algorithm between capsules, which allows lower-level features to route their outputs to higher-level structures that best represent the detected patterns. This approach enables the model to capture part-to-whole relationships in visual data more effectively than standard CNNs. ... -
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Siamese and triplet learning
Siamese and triplet networks with online triplet mining in PyTorch
Siamese and triplet learning is a PyTorch implementation of Siamese and triplet neural network architectures designed for learning embedding representations in machine learning tasks. These types of networks learn to map images into a compact feature space where the distance between vectors reflects the similarity between inputs. Such embeddings are commonly used in applications like face recognition, image similarity search, and few-shot learning. The repository demonstrates how to train these models using contrastive loss and triplet loss functions, which encourage embeddings of similar samples to be close while pushing dissimilar samples farther apart. ... -
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FortWrap is a python script that parses Fortran 90/95/200X source files and generates wrapper code in the form of C++ classes. FortWrap is intended to be used with object oriented Fortran code that makes use of Fortran derived types. Project has moved to: https://github.com/mcfarljm/fortwrap
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RTLSDR Scanner
A cross platform Python frequency scanning GUI for rtl-sdr
A cross platform Python frequency scanning GUI for USB TV dongles, using the OsmoSDR rtl-sdr library. In other words a cheap, simple Spectrum Analyser. More information can be found at: http://eartoearoak.com/software/rtlsdr-scanner An installer and standalone versions for Windows are located here: https://github.com/EarToEarOak/RTLSDR-Scanner/releases Sources are available on GitHub: https://github.com/EarToEarOak/RTLSDR-Scanner ** The up to date installer is no longer... -
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DataMule
Extract-Copy-Load (ECL) tool for 14 databases.
...DB2 UDB 5. SQLServer 6. MariaDB 7. Sybase IQ 8. PostgreSQL 9. MySQL 10. Informix IDS 11. TimesTen 12. Oracle 13. SQL Lite 14. Exadata Total 224 data copy vectors. CSV -> DB. DB->DB DB->CSV -
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nec2pylib
Do with NEC2 antenna modeling into Python
With this lib you can easily create NEC2 file and automatically run NEC2 simulation with python. Geometry is defined with using 3D vectors. You can cut, rotate, copy, add vectors. Parsing NEC2 output result file is yet possible but in beta stage. The final goal is to call and score nec2 simulation with optimisation algorithms.. Source code is full documented. -
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allink
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. -
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
...Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. It is aimed to be a convenient and handy toolkit to check out your ideas. -
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Ops is a C++ library and a Python module for reading configuration files. The files are written in Lua, which makes the configuration files easy to read and write for the beginner, and yet very powerful for advanced users.
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This is a project to develop a vector program, to calculate with two three-dimensions vectors (x,y,z). It's really usefull to maths, use it! The download pre-selected is in English, if you want in Spanish, you have it in the folders.
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Linear Algebra Common Expressions (LACE) is a C++ templated library which allows you to operate with matricies and vectors inside your code as easy as on the whiteboard.
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MathGL++ is a class library for fast C++ maths for use in OpenGL C++ projects. Easy to use and similar to the OpenGL API. Matricies, Vectors, Quaternions, Linear polynomials with eigen systems are all going to be included.
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PyGraphMath is a system for the manipulation of symbolic and numerical expr., equations, vectors .. (Maxima). Main focus lies on direct 3D graphical viewport (openGL) which displays math objects. Syntax is "pseudo-python" and supports objects, loops .. *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** OBSOLETE: please use instead http://www.sagemath.org/ with PyODE (or pyphyssim/PPE) *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** *** ***
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CryptoPy is a pure python implmentation of cryptographic algorithms and applications. The algorithms are developed for readability more than speed. The collection now includes IEEE 802.11i specific algorithms that generated the test vectors for 802.11i.
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VectTens
A library for handling vectors, tensors, and more.
VectTens is an object-oriented numerical library designed to manipulate vectors, tensors, and other mathematical quantities in a simple and efficient manner. -
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geoscipy
Python-accessible toolkit for Geoscience & Remote Sensing Applications
GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. ...
