stjordanis Goto Github PK
Name: STYLIANOS IORDANIS
Type: User
Bio: ML/Data Scientist
Location: Greece
Blog: https://www.linkedin.com/in/stylianos-iordanis-34787a19/
Name: STYLIANOS IORDANIS
Type: User
Bio: ML/Data Scientist
Location: Greece
Blog: https://www.linkedin.com/in/stylianos-iordanis-34787a19/
PyTorch implementations of deep reinforcement learning algorithms and environments
Hands-on Deep Reinforcement Learning, published by Packt
Using deep actor-critic model to learn best strategies in pair trading
A collaboratively written review paper on deep learning, genomics, and precision medicine
Solutions to the Deep RL Bootcamp labs
TensorFlow implementation of Deep Reinforcement Learning papers
Apply deep RL to trade on currency exchange
Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021.
Papers related to Deep Learning, GANs, applied to seismic
Code for "Deep Signature Transforms" (NeurIPS 2019)
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)
Algorithmic trading with deep learning experiments
Deep Reinforcement Learning based Trading Agent for Bitcoin
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Variational deep autoencoder to predict churn customer
DeepVis Toolbox
The results for my benchmark on 1% of deep1b
Protein-compound affinity prediction through unified RNN-CNN
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Tensorflow/Keras Plug-N-Play Deep Learning Models Compilation
Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"
Neural Networks for Protein Sequence Alignment
Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network
A deep learning framework for high-throughput mechanism-driven phenotype screening
Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
OpenCL library to train deep convolutional neural networks
Deep Clustering for Unsupervised Learning of Visual Features
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.