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camera_traps_self_supervised

This repository contains the code for reproducing the results of our ICCV 2021 paper: "Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring".

cameratraps

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

coop

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

cypher-python

Python functions embedding Cypher queries (Query language for neo4j database) with the use of py2neo library regarding data fetched from Twitter.

densenet

DenseNet implementation in Keras

face-expression-recognition-system

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

facedetect

geo_prior

Presence-Only Geographical Priors for Fine-Grained Image Classification - ICCV 2019

git-class

A 4h class to teach git and GitHub

iic-fork

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

inat_comp_2018

CNN training code for iNaturalist 2018 image classification competition

ldam-drw

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

moco-fork

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

ntua_e-prescription

Project for Analysis and Design of Information Systems. It deals with e-prescription.

omipan.github.io

Personal website

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

statistical-functions

Typical set of statistical functions.

svl_adapter

SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

tip-adapter

tweepy

Twitter for Python!

twitter-data-collection

Fetch data from Twitter using twitter APIs via tweePy library for python. The data are stored in a neo4j graph database via py2neo library.

ucl-irdm-2017

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.

ucl-msc-project

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"

unsupervised-classification-fork

SCAN: Learning to Classify Images without Labels (ECCV 2020)