Search Results for "classification" - Page 16
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Showing 774 open source projects for "classification"
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cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
The cnn-text-classification-tf repository by Denny Britz is a well-known educational implementation of convolutional neural networks for text classification using TensorFlow, aimed at helping developers and researchers understand how CNNs can be applied to natural language processing tasks. Based loosely on Kim’s influential paper on CNNs for sentence classification, this codebase demonstrates how to preprocess text data, convert words into learned embeddings, and apply multiple convolution filters to extract n-gram features that are then pooled and fed into a classifier. ... -
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Marine Mammal Acoustic DCL
Advanced acoustic detection, classification and localization
Advanced detection, classification and localization (DCL) of marine mammals and passive acoustic monitoring (PAM). Code is being developed as Matlab routines, interfaces for Ishmael (http://www.bioacoustics.us/ishmael.html), and in other formats. -
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Mixup-CIFAR10
mixup: Beyond Empirical Risk Minimization
mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more... -
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Scidb
Chess Database Application
Scidb is an open-source chess database application for Windows, Unix/Linux. It is a new development inspired by Scid. -
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Root Phenotyping Suite
Three different software tools for phenotyping plant root images
...RootAnalyzer segments the plant root from the image's background, classifies and characterizes the cortex, stele, endodermis and metaxylem, and produces statistics about the morphological properties of the root cells and tissues. RTipC is a system for the fully automated detection and classification of root tips in root images obtained either by 2d flat bed scanning or by 3D digital camera imaging. The software provides a robust, efficient and accurate means of phenotyping of roots, by detecting individual root tips and classifying them as belonging to a primary or lateral root. RootGraph is a novel, fully automated and robust approach for the detailed characterization of root traits, based on a graph optimization process. ... -
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
...The core idea implemented here is the relation network, which learns to compare pairs of feature embeddings and output relation scores that indicate whether two images belong to the same class, enabling classification from only a handful of labeled examples. The repository provides training and evaluation code for standard few-shot benchmarks such as miniImageNet and Omniglot, making it possible to reproduce the experimental results reported in the paper. It includes model definitions, data loading logic, episodic training loops, and scripts that implement the N-way K-shot evaluation protocol common in few-shot research. ... -
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PyTom
http://www.sciencedirect.com/science/article/pii/S1047847711003492
PyTom is a toolbox developed for interpreting cryo electron tomography data. All steps from reconstruction, localization, alignment and classification are covered with standard and improved methods. Please sign up to our mailing list to keep up with the most recent updates and versions. -
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...When you have more than 1,000 websites or articles in your browser's favorites, finding things is definitely a labor of life. Then let the cloud collection help you solve it, which is convenient for classification, organization, query and search. Cloud Collection is an open source website built with Spring Boot, which allows users to collect a website online anytime, anywhere, and categorize the collected websites or articles on the website, which can be used as temporary storage for later reading.
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PySptools
Hyperspectral algorithms for Python
A lightweight hyperspectral imaging library that provides developers with spectral algorithms for the Python programming language. New for v0.14.x: a scikit-learn bridge (alpha and partial). The functions and classes are organized by topics: * abundance maps: FCLS, NNLS, UCLS * classification: AbundanceClassification, NormXCorr, KMeans SAM, SID, SVC * detection: ACE, CEM, GLRT, MatchedFilter, OSP * distance: chebychev, NormXCorr, SAM, SID * endmembers extraction: ATGP, FIPPI, NFINDR, PPI * material count: HfcVd, HySime * noise: Savitzky Golay, MNF, whiten * sigproc: bilateral * sklearn: HyperEstimatorCrossVal, HyperSVC and others * spectro: convex hull quotient, features extraction (tetracorder style), USGS06 lib interface * util: load_ENVI_file, load_ENVI_spec_lib, corr, cov and others The library do an extensive use of the numpy numeric library and can achieve good speed. ... -
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Convolutional Recurrent Neural Network
Convolutional Recurrent Neural Network (CRNN) for image-based sequence
...This hybrid approach allows the model to recognize sequences of characters directly from images without requiring explicit character segmentation. The implementation also integrates the Connectionist Temporal Classification (CTC) loss function, enabling end-to-end training of the model using labeled sequence data. CRNN has been widely used in computer vision tasks that require interpreting text embedded in images, such as reading street signs, documents, or natural scene text. -
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file-sorter
It sorts your files fast and easily.
This windows application helps you to sort your files easily. Classification of files sometimes turns into a big problem for users and they need to spend many times to find and sort the files. "File Sorter" program has made to solve this problem for windows users. It's a light and simple application that creates some directories (folders) for each group of files (based on their type) and move them to the proper directory. -
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FS-Blog
Personal blog, the pioneering work of Spring Boot,
Personal blog, the pioneering work of Spring Boot, using Spring Boot + MyBatis, front-end Bootstrap + LayUI, supports the lightweight Markdown editor Editor.md favored by programmers, and supports tag classification retrieval. Core framework is SpringBoot, ORM framework is MyBatis, MyBatis toolis MyBatis Mapper, MVC frameworks is Spring MVC, Template engine is Freemarker, Compilation auxiliary plug-in: Lombok, CSS Framework is BootStrap 4.0, Markdown editor is Editor.md, and Database is MySQL -
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DIGITS
Deep Learning GPU training system
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging. ... -
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PressureEquipmentHazard
Hazard classification of Pressure Equipment
Hazard classification of Pressure Equipmenti on conformity to European directive 2014/68/UE, 97/23/CE (PED) or ASME BPVC -
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Image classification models for Keras
Keras code and weights files for popular deep learning models
All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at ~/.keras/keras.json. For instance, if you have set image_dim_ordering=tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Pre-trained weights can be automatically loaded upon instantiation (weights='imagenet'... -
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JSiteDescriptor
Binding site descriptor generation for SVM based classification.
A set of java programs that extract coordinate and chemical information from PDB files. The binding site regions are extracted using grid based scheme. For binding site, spatio-chemical descriptor is generated based on PocketMatch algorithm of Dr. Kalidas (author of this project too). -
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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract informative features, and a final softmax classifier to distinguish between target classes. ... -
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Keras resources
Directory of tutorials and open-source code repositories
...It aggregates a wide range of resources, including beginner guides, advanced tutorials, code examples, and third-party tools, all organized into a single reference hub. The repository covers diverse topics such as image classification, natural language processing, reinforcement learning, and generative models, providing both theoretical and practical insights. It also includes links to external projects built with Keras, demonstrating real-world applications of deep learning techniques. The structure is designed for easy navigation, allowing users to quickly find relevant materials based on their skill level or area of interest. ... -
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Five video classification methods
Code that accompanies my blog post outlining five video classification
...So a 41-frame video and a 500-frame video will both be reduced to 40 frames, with the 500-frame video essentially being fast-forwarded. We won’t do much preprocessing. A common preprocessing step for video classification is subtracting the mean, but we’ll keep the frames pretty raw from start to finish. -
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DGRLVQ
Dynamic Generalized Relevance Learning Vector Quantization
...Dynamic-GRLVQ (DGRLVQ), which adapts the model complexity to the given problem during training by adding or removing prototypes dynamically/realtime one by one for each category until satisfactory classification results are achieved. -
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fscaret_shiny
UI for fscaret
User Interface (ui) application which implements the automated feature selection provided by the 'fscaret' package of R-environment. -
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Gains-Chart
gains chart creation and scoring for classification estimators
A python module that provides a lean function to create gain charts, lift charts for the validation of classification algorithms. It uses matplotlib.pylab and looks best with seaborn.set_style("whitegrid") Also a score function is provided to score a gain chart or all gain charts of all classes of a classification problem. This score function can be used as a scorer within sklearn functions like cross_val_score, GridSearch. -
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This project aims to provide tools for spam detection or other similar classification problems, especially for those who are conducting scientific research on this field.
