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.TraderNet-CRv2
TraderNet-CRv2 - Combining Deep Reinforcement Learning with Technical Analysis and Trend Monitoring on Cryptocurrency MarketsUnet3-Plus
Clean Implementation of Unet3+ and validation on Cityscapes dataset.Autonomous-Vehicles-Adaptive-Cruise-Control
An implementation of an Autonomous Vehicle Agent in CARLA simulator, using TF-AgentsAdvanced-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.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.Deep-RL-Frameworks
Comparison of different Deep Reinforcement Learning (DRL) Frameworks. This repository includes "tf-agents", "RLlib" and will soon support "acme" as well.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.Generative-Adversarial-Networks
Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.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 TensorflowLSTM-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.Tensorflow-MNIST-State-Of-The-Art
Building High Performance Convolutional Neural Networks with TensorFlowTraffic-Sign-Classification
Apply built-in state-of-the-art classifiers with the Keras library to Traffic Sign datasetsBig-Data-Algorithms
Implementation of algorithms for big data using python, numpy, pandas.Reinforcement-Learning-Algorithms
This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.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.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 LearningkochlisGit
This is my profile page.Java-MultiThreading-Server-Chat
This is a simple Team Chat written in Java.Data-Augmentation-Algorithms
Implementation of fast Data Augmentation for Image Classification / Detection tasks.Data-Science-Algorithms
Implementation of statistics algorithms for Machine Learning & Data Mining. The algorithms were implemented with the Scikit-Learn LibraryPredictive-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.Noise-Adaptive-Driving-Assistance-System
Noise-Adaptive Driving Assistance System (NADAS) using Deep Reinforcement Learning, State-Estimation & State RepresentationWine-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.Computer-Vision-Algorithms
Implementation of computer vision algorithms and image processing using Numpy & OpenCVaboutme
In this repository, I will be hosting my personal webpage.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 JavaLove Open Source and this site? Check out how you can help us