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IDSIA, USI
- Lugano, Switzerland
- https://marshka.github.io/
- @IvanMarisca
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An open-source & self-hostable Heroku / Netlify / Vercel alternative.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Official repository for the paper "Sparse Graph Learning from Spatiotemporal Time Series" (JMLR 2023)
Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
OpenUI let's you describe UI using your imagination, then see it rendered live.
Implementation of Graph Muti-Attention Network with PyTorch
Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
Material for the course "Time series analysis with Python"
Building a modern alternative to Salesforce, powered by the community.
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Scalable and user friendly neural 🧠 forecasting algorithms.
Official repository for the paper "Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations" (ICLR 2024)
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
Long Range Arena for Benchmarking Efficient Transformers
Code accompanying our NeurIPS 2022 traffic4cast challenge
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Instant voice cloning by MIT and MyShell.
Simple, minimal implementation of the Mamba SSM in one file of PyTorch.
#1 Locally hosted web application that allows you to perform various operations on PDF files
Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)
Graph signal processing tutorial, presented at the GraphSiP summer school.
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
Structured state space sequence models