Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
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Updated
Dec 21, 2021 - Jupyter Notebook
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
Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.
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.
Fraud detection using lgb, catboost, rf, etc
Continual learning using variational prototype replays
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 .
The MAFAT challenge, by the Israeli Department of Defense. Deep Learning based approach to classify radar signatures of humans and animals.
😄 😟 😂 An emotion classification web service 😄 😟 😂
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
ISIC2016challenge
CNNs usage with tensorflow.js, an example for handwritten data and recognition by cnn
A random forest algorithm is implemented in Python from scratch to perform a classification analysis.
Top solution of Janata Hack: Mobility Hack
Comparative Analysis of Basic ML algorithms and its conclusion.
LSTM, Bi-LSTM PyTorch project for Information Retrieval and NLP course at University of New South Wales
ELMo-MLP classifier
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