Embed strange attractors using a regularizer for autoencoders
☆134Jun 9, 2021Updated 4 years ago
Alternatives and similar repositories for fnn
Users that are interested in fnn are comparing it to the libraries listed below
Sorting:
- ☆15May 21, 2020Updated 5 years ago
- Implementation of the Latent CCM paper☆18Jun 8, 2024Updated last year
- A basic implementation of the paper Eigengame : PCA as a Nash Equilibrium☆21Jun 7, 2021Updated 4 years ago
- ☆14Mar 3, 2022Updated 4 years ago
- Code for our NeurIPS 2020 paper "Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity"☆89Apr 16, 2021Updated 4 years ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆27Nov 14, 2025Updated 3 months ago
- Predicting wave propagation on shallow water with deep neural networks☆23Oct 3, 2023Updated 2 years ago
- Survey-on-Implicit-Neural-Representation☆36Mar 31, 2021Updated 4 years ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Mar 30, 2021Updated 4 years ago
- Implementation of the Slow Feature Analysis algorithm for unsupervised learning☆12Jul 25, 2022Updated 3 years ago
- ☆13Jan 17, 2024Updated 2 years ago
- Code for the blog post☆12Jan 15, 2021Updated 5 years ago
- Hundreds of strange attractors☆520Jan 1, 2026Updated 2 months ago
- ☆11May 31, 2023Updated 2 years ago
- PyTorch implementation of Deep-Learning Architectures☆11Feb 12, 2023Updated 3 years ago
- ☆13Mar 11, 2025Updated 11 months ago
- Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.☆13Jul 6, 2023Updated 2 years ago
- A quick test of SIREN on out-of-sample tasks☆13Jul 4, 2020Updated 5 years ago
- Neural Graph Differential Equations (Neural GDEs)☆213Apr 15, 2021Updated 4 years ago
- ☆14Jul 1, 2020Updated 5 years ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆12Apr 20, 2018Updated 7 years ago
- An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, fo …☆16Sep 26, 2019Updated 6 years ago
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Apr 9, 2024Updated last year
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Mar 13, 2021Updated 4 years ago
- Reinforcement learning algorithms to play Poker☆14Dec 29, 2021Updated 4 years ago
- Experiments learning the even-parity dataset with MPS (tensor trains)☆24Nov 1, 2023Updated 2 years ago
- The geospatial pooling modules for neural networks in PyTorch☆20Updated this week
- A python package for finding causal functional connectivity from neural time series observations.☆19May 21, 2025Updated 9 months ago
- ☆13May 28, 2021Updated 4 years ago
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Dec 18, 2021Updated 4 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Oct 1, 2018Updated 7 years ago
- An adaptive training algorithm for residual network☆17Aug 22, 2020Updated 5 years ago
- Refining continuous-in-depth neural networks☆42Nov 14, 2021Updated 4 years ago
- Sensor data of a renowned power plant has given by a reliable source to forecast some feature. Initially the work has done with KNIME sof…☆18Mar 25, 2023Updated 2 years ago
- ☆17May 1, 2022Updated 3 years ago
- ☆40Jul 20, 2023Updated 2 years ago
- ☆16Apr 6, 2022Updated 3 years ago
- Implementation of MTAD-TF: Multivariate Time Series Anomaly Detection Using the Combination of Temporal Pattern and Feature Pattern☆16Feb 21, 2021Updated 5 years ago
- PENN code for NeurIPS 2022☆42Jan 11, 2023Updated 3 years ago