AlexGidiotis/Advanced-ML-techniques

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Created over 6 years ago
Updated over 6 years ago

AlexGidiotis/Advanced-ML-techniques

AlexGidiotis

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This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.

Document-Classifier-LSTM

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Multimodal-Gesture-Recognition-with-LSTMs-and-CTC

An end-to-end system that performs temporal recognition of gesture sequences using speech and skeletal input. The model combines three networks with a CTC output layer that recognises gestures from continuous stream.

DANCER-summ

Code for the paper "A Divide-and-Conquer Approach to the Summarization of Long Documents"

keras-CF-NADE

keras implementation of Neural Autoregressive Distribution Estimator for Collaborative Filtering

PMC-StructuredAbstracts-Dataset

Code to obtain the PMC-SA. A dataset for the summarization of scientific articles.

gpt-light

The easiest repo for building GPT applications.

predict_query_product_relevance

we try to predict a relevance score between a search term and a product

ml-algorithms-minimal

Pure python implementations of popular ML algorithms.

Jupyter Notebook

LSTM-Language-Models

Experiments with LSTM networks for language modeling.

Automatic_Gesture_Recognition

In this project we address the task of multimodal recognition of gestures. We are using skeletal, speech, rgb and depth streams to recognise sequences of gestures.

Bayesian-Summarization

Keras-tutorial-on-CNNs

Tutorial on how to implement a simple CNN for image classification and face detection.