cyrilakafia Goto Github PK

aicpred

An AI powered web application for predicting potential anti-inflammatory compounds against the toll-like receptor 4 (TLR4) to ameliorate the Covid-19 induced cytokine storm.

aicpred-code

analysis_with_one

Open Neurophysiology Environment (ONE) is used to retrieve data and perform analysis on data

aws-image-classification-workflow

Deploy and monitor a machine learning workflow for Image Classification

basic-data-analysis

bert-ner-biodata

Finetuning BERT to perform Named Entity Recognition (NER)

clustering-time-series

Using a novel approach to cluster time series data with non-linear dynamics

comp_neuro-ml_course

TReND school in Comp Neuro and ML

covid-ml

Machine Learning Models for the prediction of possible COVID infections using symptoms

cyrilakafia

cyrilakafia.github.io

feu-pipeline

A model for using the feu-pipeline for inference on your data

flower-classifier

fordgobike-visualize

landmark-classification

mc-maze-analysis

What techniques can we use to gain insights into the neural activity of motor control and movement planning

mlp-from-scratch

I implement a perceptron and a multi-layer perceptron (MLP) from scratch (with only numpy) and test their performances on tasks

noshow-analysis

Data Analysis and Visualization

spike-simulator

tlr4model

Building machine learning models for predicting inhibitors of the toll-like receptor 4 (TLR4)

unet-from-scratch

wrangle-weratedogs

Perform analysis on dog rating dataset downloaded using the twitter API