classification-task

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

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.

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

Fast WSI prediction by ScanNet in PyTorch.

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

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

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 .

Fraud detection using lgb, catboost, rf, etc

Continual learning using variational prototype replays

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

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

ISIC2016challenge

😄 😟 😂 An emotion classification web service 😄 😟 😂

radiomics

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

Top solution of Janata Hack: Mobility Hack

This repository hosts the programming exercise for the course Data Science & Web Mining of AUEB Informatics.

ELMo-MLP Classifier

Designing Your Own Deep Neural Network

Data Science implementations and models

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

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.

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

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

Using Neural Networks with Focal Loss function to predict fraudulent credit card transactions.

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

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

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

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

Code for Kaggle competition Titanic: Machine Learning from Disaster