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Name: Alexis Gidiotis
Type: User
Location: London, United Kingdom
Name: Alexis Gidiotis
Type: User
Location: London, United Kingdom
This repo contains implementation of advanced ML techniques. Includes model ensembles, cost-sensitive learning and dealing with class imbalance.
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.
Implemented Item, User and Hybrid based Collaborative Filtering
Code for the paper "A Divide-and-Conquer Approach to the Summarization of Long Documents"
We use a two layer LSTM to generate text by predicting one character at a time. The model is trained on a dataset of arxiv abstracts but it can easily be optimized for a different dataset.
A bidirectional LSTM with attention for multiclass/multilabel text classification.
The easiest repo for building GPT applications.
keras implementation of Neural Autoregressive Distribution Estimator for Collaborative Filtering
Tutorial on how to implement a simple CNN for image classification and face detection.
Experiments with LSTM networks for language modeling.
Pure python implementations of popular ML algorithms.
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.
Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
Code to obtain the PMC-SA. A dataset for the summarization of scientific articles.
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
we try to predict a relevance score between a search term and a product
Scientific Document Summarization Corpus and Annotations from the WING NUS group.
An Open Source Machine Learning Framework for Everyone
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.