classification-task

eBay/Sequence-Semantic-Embedding

Tools and recipes to train deep learning models and build services for NLP tasks such as text classification, semantic search ranking and recall fetching, cross-lingual information retrieval, and question answering etc.

AFAgarap/gru-svm

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

gatsby2016/Fast-WSI-Prediction

Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.

edukait/glioma-classification

The purpose of this project is to be able to automatically and efficiently segment and classify high-grade and low-grade gliomas.

nvnnghia/opencv-Image_classification

Train Image classification on CIFAR10 using tensorflow and keras. Create a inference using opencv. OpenCV to read tensorflow graph.

Ariannahs/Ad-Fraud-Detection-With-Machine-Learning

Fraud detection using lgb, catboost, rf, etc

alex-chirayath/Quora-Question-Similarity-with-Deep-Learning

Given a pair of questions on Quora, the NLP task aims to classify whether two given questions are duplicates or not. The underlying idea is to identify whether the pair of questions have the same intent though they might have been structured differently .

kreimanlab/VariationalPrototypeReplaysCL

Continual learning using variational prototype replays

expectopatronm/MAFAT-RADAR-Challenge

The MAFAT challenge, by the Israeli Department of Defense. Deep Learning based approach to classify radar signatures of humans and animals.

dudongyangsmu/NPC-Diagnosis

radiomics

KaoruMuta/ISIC2016_challenge

ISIC2016challenge

omarsar/meda

:smile: :worried: :joy: An emotion classification web service :smile: :worried: :joy:

burakberber/cnn-tensorflow-js

CNNs usage with tensorflow.js, an example for handwritten data and recognition by cnn

DavidCico/Self-implementation-of-a-random-forest-algorithm

A random forest algorithm is implemented in Python from scratch to perform a classification analysis.

G-Slient/JanataHack-Mobility_Analytics

Top solution of Janata Hack: Mobility Hack

SagarPatel98/Employee-Retention

It is a binary classification task, where given a set of features we need to predict whether the employee is likely to leave or not

Bennyhwanggggg/Hyponymy-Classification-using-LSTM

LSTM, Bi-LSTM PyTorch project for Information Retrieval and NLP course at University of New South Wales

Akhand-Pratap-Tiwari/Comparative-study-of-ML-models-on-Rainfall-Dataset

Comparative Analysis of Basic ML algorithms and conclusion

ashish230897/Deep-Neural-Networks-From-Scratch

Designing Your Own Deep Neural Network

bricksdont/classifier-recipes

Code that exemplifies neural network solutions for classification tasks with DyNet. On top of that, the code demonstrates how to implement a custom classifier that is compatible with scikit-learn's API.

enginBozkurt/repoCallForCode

Data Science implementations and models

ppokhare/Handling-Imbalanced-Dataset-for-classification-task

Using various ML models and Neural Networks with Focal Loss function to predict fraudulent credit card transactions.

QQQQQby/ELMo-MLP

ELMo-MLP classifier

tatianabarbone/stellar-classification

A classification task to predict star type based on temperature, luminosity, radius and absolute magnitude.

amiruzzaman1/Heart-Disease-Classifications

This project involves a classification task using various machine learning algorithms on a heart disease dataset. The dataset comprises features related to heart health, with the target variable indicating the presence or absence of heart disease.

anna-dang/mod03-classification

Ternary classification problem using real-world, incomplete data from a live DrivenData competition.

Galina-Blokh/distilbert_bynary_classification

A notebook for a medium article about text classification with Hugging Face DistilBert and Tensorflow 2.0

Kavitha-Kothandaraman/Sentiment-Classification-using-NLP

To generate Word Embeddings and retrieve outputs of each layer with Keras based on the Sentiment Classification task

pierrebedu/1-ENS-DATA-CHALLENGE-VALEO

VALEO CHALLENGE (13 th). Predict defect on starter motor production lines. Classification task over imbalanced data

AzizjonTuraev/loan_classification

francisanokye/DNA-Classification-Challenge-With-Kernel-Methods-AMMI-2020

This solution ranked 1st in the inclass competition on Kaggle out of 43 teams. The data challenge is a project taken to climax the kernel methods in machine learning course at AMMI-2020, aimed at the implementation of machine learning algorithms to gain understanding and further adapt them to structural data (DNA sequence data). In this report, we (Aissatou & I) present our approach to the challenge which was hosted on Kaggle with the goal of predict- ing whether a DNA sequence region is binding site to a specific transcription factor or not. Our best result ranked 1st on the private leader board with a score of 71.20% .

gabrielriqu3ti/ROB313_Perception_pour_les_systemes_autonomes

Ensemble des projets du cours ROB313 - Perception pour la Robotique de l'école ENSTA IP Paris.

marmal95/MPI-ML

Parallel implementation of classification task using a few different classifiers with use of MPI.

msp99000/Income-Prediction-Naive-Bayes

Implementing Naive Bayes Algorithm on a dataset having high cardinality issues.

nischaybikramthapa/Physical-Activity-Recognition

Can we predict what a person is doing based on their movements?