Starred repositories
An open-source repository for the PINN-based adaptive framework for solving the axisymmetric pulsar equation.
A repository containing the data and source code needed to reproduce the results and figures from our paper “Training Deep Physics-Informed Kolmogorov–Arnold Networks.”
A library for soft differentiable relaxations of common JAX functions.
Code for KAN-SR: A Kolmogorov-Arnold Network Guided Symbolic Regression Framework
A python library to train Deep Neural Networks on various audio tasks using Self-Supervised backbones.
A public repository containing the data and code for the paper "A Dynamic Framework for Grid Adaptation in Kolmogorov–Arnold Networks".
Pinneaple is an open-source Physics AI toolkit for Physics-Informed Neural Networks (PINNs), scientific ML, geometry processing, solvers, and reproducible training pipelines.
Cold Dark Matter simulations with physics-informed Kolmogorov-Arnold Networks.
A systematic review of Kolmogorov-Arnold Networks that bridges them with MLPs, highlights their parameter-efficient, interpretable edge-basis design, maps the open-source ecosystem, and offers a pr…
A public repository containing the Case Western Reserve University's Bearing Dataset corrected and cleaned, in .npz format.
Repository for the code and data that reproduce the results shown in the paper "Initialization Schemes for Kolmogorov–Arnold Networks: An Empirical Study".
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.