past

Distributed Gossip training for Fashion MNIST classification

Training multiple Deep Neural Networks which they can communicate.

Distributed Gossip training for Fashion MNIST classification

Multi‑Agent Distributed Reinforcement Learning for grid Environment

Implementing Distributed algorithms for multi agent Reinforcement Learning.

Multi‑Agent Distributed Reinforcement Learning for grid Environment

Analysing Continuous‑Time Neural Signals for different data modalities

several analysis like RDM, PLV, Granger casuality are done on multiple data modalities.

Analysing Continuous‑Time Neural Signals for different data modalities

Analysing Discrete‑Time Neural Signals

Spike Sorting, Unit-based decoding and population based decoding on single cell data.

Analysing Discrete‑Time Neural Signals

Behavioral Analysis of subjects by designing a Psychopy task and analyzing the results

Several Behavioral Analysis to find out relationships between features of collected data from a psychopy task.

Behavioral Analysis of subjects by designing a Psychopy task and analyzing the results

Building a data pipeline on the Crypto market

Using BigData tools like Apache airflow, Apache Kafka, HDFS, Elasticsearch and kibana to build a real-time data pipeline.

Building a data pipeline on the Crypto market

Crowed Counting with Deep Learning

Counting number of people in crowded images using Deep Learning.

Crowed Counting with Deep Learning

Detecting Parkinson disease using signals of speech data with ensemble learning

Use ML Algorithms for a parkinson detction task.

Detecting Parkinson disease using signals of speech data with ensemble learning

Federated Learning on Semantic Segmentation task (FedAVG, FedADMM)

Image segmentation by using Federated Learning for autonomous driving application.

Federated Learning on Semantic Segmentation task (FedAVG, FedADMM)

Generative Cooperative Network

A combination of an image generator and a classifier succeeds to generate images.

Generative Cooperative Network