Vasileios Kochliaridis (@kochlisGit)
github

kochlisGit

Twitter logo Share LinkedIn logo Share Facebook logo Share
  • Stars
    star
    443
  • Global Rank 63,744 (Top 3 %)
  • Followers 88
  • Following 2
  • Registered over 5 years ago
  • Most used languages
    Python
         46.2 %
    Jupyter Notebook
         38.5 %
    Java
         7.7 %
    CSS
         3.8 %
    PureBasic     3.8 %
  • Location 🇬🇷 Greece
  • Country Total Rank 216
  • Country Ranking
    PureBasic     2
    Jupyter Notebook
         16
    Python
         27
    CSS
         227
    Java
         498

Top repositories

1

ProphitBet-Soccer-Bets-Predictor

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.
Python
282
star
2

TraderNet-CRv2

TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
Jupyter Notebook
29
star
3

Unet3-Plus

Clean Implementation of Unet3+ and validation on Cityscapes dataset.
Python
27
star
4

Autonomous-Vehicles-Adaptive-Cruise-Control

An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents
Python
18
star
5

Advanced-ML

Advanced Machine Learning Algorithms including Cost-Sensitive Learning, Class Imbalances, Multi-Label Data, Multi-Instance Learning, Active Learning, Multi-Relational Data Mining, Interpretability in Python using Scikit-Learn.
Jupyter Notebook
9
star
6

Physics-Informed-Neural-Network-PINN-Tensorflow

Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equations.
Jupyter Notebook
9
star
7

Deep-RL-Frameworks

Comparison of different Deep Reinforcement Learning (DRL) Frameworks. This repository includes "tf-agents", "RLlib" and will soon support "acme" as well.
Jupyter Notebook
9
star
8

Deep-Trainer

Monitor Your Workout through a Webcam/IP Camera. No equipment is required, other than a camera and a laptop. This application could potentially replace a personal trainer, making it the idea app for workout.
PureBasic
8
star
9

Generative-Adversarial-Networks

Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.
Python
6
star
10

LogoLens

Logo Detection of a custom small dataset. The dataset contains logos of 6 famous brands: Nike, Jordans, Adidas, Puma, Kappa, Quicksilver. The model was developed using the Object-Detection-API by Tensorflow
Jupyter Notebook
5
star
11

LSTM-Stock-Predictions

Prediction of Stock price using Recurrent Neural Network (RNN) models. Contains GRU, LSTM, Bidirection LSTM & LSTM combinations with GRU units. The models were deveoped using the keras module from Tensorlfow.
Python
5
star
12

Tensorflow-MNIST-State-Of-The-Art

Building High Performance Convolutional Neural Networks with TensorFlow
Jupyter Notebook
4
star
13

Traffic-Sign-Classification

Apply built-in state-of-the-art classifiers with the Keras library to Traffic Sign datasets
Python
3
star
14

Big-Data-Algorithms

Implementation of algorithms for big data using python, numpy, pandas.
Python
3
star
15

Reinforcement-Learning-Algorithms

This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
Python
3
star
16

VIT2

This repository is the implementation of the paper: ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ViT2 is a framework designed to address generalization & transfer learning limitations of Time-Series-based forecasting models by encoding the time-series to images using GAF and a modified ViT architecture.
Jupyter Notebook
3
star
17

Shadow-Hand-Controller

Construction of controllers for Shadow-Hand in Mujoco environment, using Deep Learning. 2 Different methods were used to create the controllers: a) Behavioral Cloning b) Deep Reinforcement Learning
Python
3
star
18

kochlisGit

This is my profile page.
2
star
19

Java-MultiThreading-Server-Chat

This is a simple Team Chat written in Java.
Java
2
star
20

Data-Augmentation-Algorithms

Implementation of fast Data Augmentation for Image Classification / Detection tasks.
Python
2
star
21

Data-Science-Algorithms

Implementation of statistics algorithms for Machine Learning & Data Mining. The algorithms were implemented with the Scikit-Learn Library
Python
2
star
22

Predictive-Maintainance-Tanzania-Water-Pumps

In this project, I analyze, plot and clean Tanzania's Water Pump Dataset, which is provided by DrivenData.org for a competition.
Jupyter Notebook
2
star
23

Noise-Adaptive-Driving-Assistance-System

Noise-Adaptive Driving Assistance System (NADAS) using Deep Reinforcement Learning, State-Estimation & State Representation
Jupyter Notebook
2
star
24

Wine-Preference-Analysis

The purpose of this work is the modeling of the wine preferences by physicochemical properties. Such model is useful to support the oenologist wine tasting evaluations, improve and speed-up the wine production. A Neural Network was trained using Tensorflow, which was later tuned in order to achieve high-accuracy quality predictions.
Jupyter Notebook
2
star
25

Computer-Vision-Algorithms

Implementation of computer vision algorithms and image processing using Numpy & OpenCV
Python
1
star
26

aboutme

In this repository, I will be hosting my personal webpage.
CSS
1
star
27

TMDB-Search-Engine

An implementation of an advanced movie search engine, using TMDB's data & Lucene's indexing. It is a desktop application, developed in Java
Java
1
star