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

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

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

Continual learning using variational prototype replays

😄 😟 😂 An emotion classification web service 😄 😟 😂

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

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

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

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 .

radiomics

Designing Your Own Deep Neural Network

Top solution of Janata Hack: Mobility Hack

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

Image Classifier on 102 Oxford Flowers Dataset

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

ELMo-MLP classifier

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