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Name: Omiros Pantazis
Type: User
Company: UCL
Bio: machine learning scientist
Location: London, UK
Blog: omipan.github.io
Name: Omiros Pantazis
Type: User
Company: UCL
Bio: machine learning scientist
Location: London, UK
Blog: omipan.github.io
This repository contains the code for reproducing the results of our ICCV 2021 paper: "Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring".
Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
Python functions embedding Cypher queries (Query language for neo4j database) with the use of py2neo library regarding data fetched from Twitter.
DenseNet implementation in Keras
The model was trained with a dataset of approximately 40000 images from the Kaggle Facial Expression Recognition Competition https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data
Presence-Only Geographical Priors for Fine-Grained Image Classification - ICCV 2019
A 4h class to teach git and GitHub
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
CNN training code for iNaturalist 2018 image classification competition
[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Project for Analysis and Design of Information Systems. It deals with e-prescription.
Personal website
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Typical set of statistical functions.
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models
TensorFlow Tutorial and Examples for beginners
Twitter for Python!
Fetch data from Twitter using twitter APIs via tweePy library for python. The data are stored in a neo4j graph database via py2neo library.
This project is for UCL's course Information Retrieval and Data Mining and is based on Kaggle's Competition 'Home Depot Kaggle Challenge. It includes implementation of Machine Learning models that rank products sold by Home Depot with respect to their relevance to user queries in order to improve the customer's shopping experience.
The code in this repository corresponds to part of my MSc project for the MSc in Machine Learning at UCL with title: "Psychophysics for Interpretation of Convolutional Neural Networks and Localization"
SCAN: Learning to Classify Images without Labels (ECCV 2020)
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.