Pinned Repositories
Autonomous-Vehicles-Adaptive-Cruise-Control
An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents
Big-Data-Algorithms
Implementation of algorithms for big data using python, numpy, pandas.
Computer-Vision-Algorithms
Implementation of computer vision algorithms and image processing using Numpy & OpenCV
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.
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.
Reinforcement-Learning-Algorithms
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
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
Tensorflow-MNIST-State-Of-The-Art
Building High Performance Convolutional Neural Networks with TensorFlow
TraderNet-CRv2
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
Unet3-Plus
Clean Implementation of Unet3+ and validation on Cityscapes dataset.
kochlisGit's Repositories
kochlisGit/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.
kochlisGit/TraderNet-CRv2
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency Markets
kochlisGit/Unet3-Plus
Clean Implementation of Unet3+ and validation on Cityscapes dataset.
kochlisGit/Autonomous-Vehicles-Adaptive-Cruise-Control
An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-Agents
kochlisGit/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.
kochlisGit/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
kochlisGit/Deep-RL-Frameworks
Comparison of different Deep Reinforcement Learning (DRL) Frameworks. This repository includes "tf-agents", "RLlib" and will soon support "acme" as well.
kochlisGit/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.
kochlisGit/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.
kochlisGit/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.
kochlisGit/Generative-Adversarial-Networks
Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.
kochlisGit/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
kochlisGit/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.
kochlisGit/Tensorflow-MNIST-State-Of-The-Art
Building High Performance Convolutional Neural Networks with TensorFlow
kochlisGit/Big-Data-Algorithms
Implementation of algorithms for big data using python, numpy, pandas.
kochlisGit/Data-Augmentation-Algorithms
Implementation of fast Data Augmentation for Image Classification / Detection tasks.
kochlisGit/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.
kochlisGit/Reinforcement-Learning-Algorithms
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.
kochlisGit/Traffic-Sign-Classification
Apply built-in state-of-the-art classifiers with the Keras library to Traffic Sign datasets
kochlisGit/Data-Science-Algorithms
Implementation of statistics algorithms for Machine Learning & Data Mining. The algorithms were implemented with the Scikit-Learn Library
kochlisGit/Java-MultiThreading-Server-Chat
This is a simple Team Chat written in Java.
kochlisGit/kochlisGit
This is my profile page.
kochlisGit/Noise-Adaptive-Driving-Assistance-System
Noise-Adaptive Driving Assistance System (NADAS) using Deep Reinforcement Learning, State-Estimation & State Representation
kochlisGit/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.
kochlisGit/aboutme
In this repository, I will be hosting my personal webpage.
kochlisGit/Computer-Vision-Algorithms
Implementation of computer vision algorithms and image processing using Numpy & OpenCV
kochlisGit/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
kochlisGit/CILv3D
This repository contains the implementation described in the paper: CILRLv2 - Scaling Multi-Frame Transformers for End-to-End Driving