classifier
There are 1214 repositories under classifier topic.
axa-group/nlp.js
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
benedekrozemberczki/awesome-fraud-detection-papers
A curated list of data mining papers about fraud detection.
microsoft/EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
greyblake/whatlang-rs
Natural language detection library for Rust. Try demo online: https://whatlang.org/
t-davidson/hate-speech-and-offensive-language
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017
smellslikeml/ActionAI
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
emlearn/emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
MirrorYuChen/ncnn_example
ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
chrisjbryant/errant
ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.
fredwu/simple_bayes
A Naive Bayes machine learning implementation in Elixir.
d6o/Gorganizer
Organize your folders into a beautiful classified folder structure with this perfect tool
NsfwSpy/NsfwSpy.NET
A .NET image and video classifier used to identify explicit/pornographic content written in C#.
google/licenseclassifier
A License Classifier
pangwong/pytorch-multi-label-classifier
A pytorch implemented classifier for Multiple-Label classification
ptnplanet/Java-Naive-Bayes-Classifier
A java classifier based on the naive Bayes approach complete with Maven support and a runnable example.
songdejia/DFL-CNN
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
gionanide/Speech_Signal_Processing_and_Classification
Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].
aangelopoulos/conformal_classification
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
benedekrozemberczki/shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
jsingh811/pyAudioProcessing
Audio feature extraction and classification
MirrorYuChen/mnn_example
alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet
kamalkraj/ALBERT-TF2.0
ALBERT model Pretraining and Fine Tuning using TF2.0
gyrdym/ml_algo
Machine learning algorithms in Dart programming language
rishikksh20/CrossViT-pytorch
Implementation of CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
Flight-School/Programming-Language-Classifier
An example of how to use CreateML in Xcode 10 to create a Core ML model for classifying text
muatik/naive-bayes-classifier
yet another general purpose naive bayesian classifier.
leanderme/sytora
A sophisticated smart symptom search engine
karolzak/support-tickets-classification
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
HsiehYiChia/Scene-text-recognition
Scene text detection and recognition based on Extremal Region(ER)
akshaybahadur21/Digit-Recognizer
A Machine Learning classifier for recognizing the digits for humans 🎰
pythonlessons/TensorFlow-object-detection-tutorial
The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
crestonbunch/tbcnn
Efficient tree-based convolutional neural networks in TensorFlow
gitshanks/fer2013
Facial Emotion Recognition on FER2013 Dataset Using a Convolutional Neural Network
surmon-china/naivebayes
NaiveBayes classifier for JavaScript