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Starred repositories
A public repository containing the data and code for the paper "Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networks".
Repository containing Databricks notebooks for the training of a PyTorch model on Spark's distributed environment using the SparkTorch library.
A dockerized "full-stack" implementation of the IMV-LSTM neural network, served on a Streamlit UI based on FastAPI.
A short python file showcasing how a speech-to-speech chatbot can be generated with only a few lines of code and an OpenAI API key.
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
LangChain for Go, the easiest way to write LLM-based programs in Go
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Interact with your documents using the power of GPT, 100% privately, no data leaks
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Python library to compute properties of quantum tight binding models, including topological, electronic and magnetic properties and including the effect of many-body interactions.
GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.
[Algorithms '19] Official code for the paper "A Distributed Hybrid Community Detection Methodology for Social Networks" paper.
Series of Exercises - Proofs & Implementations
DSML NTUA Big Data Management Systems semester project
DSML - Course in Statistics and Stochastic Optimization
Messing around with sequential deep learning models for the task of spoken digit recognition
Practicing some Deep Learning frameworks by recognizing handwritten digits
Exercises based on the Mining of Massive Datasets book
Remote Sensing on Satellite Imagery and Videos with Deep Learning
Twitter Fake News Detection, Traffic Sign Classification, Clustering Synthetic Data
Machine Learning on Images and Audio
Exercises on Timeseries Decompositions, Monte Carlo Simulations, and Outlier Detection
Queries with SQL and MapReduce on Spark