Optimised Extended LSTM for time-series forecasting
☆43May 2, 2026Updated 2 weeks ago
Alternatives and similar repositories for xlstm-ts
Users that are interested in xlstm-ts are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- New non-Gatech GitHub☆12Dec 8, 2021Updated 4 years ago
- Remaining Useful Life Prediction of Lithium-ion Batteries☆18Aug 6, 2023Updated 2 years ago
- Stock Price Prediction☆19Sep 20, 2024Updated last year
- ☆19Mar 20, 2022Updated 4 years ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆13Jan 17, 2024Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Conformal Prediction Intervals for Remaining Useful Lifetime Estimation (IJPHM 2023)☆20Jul 26, 2023Updated 2 years ago
- Official code for our NeurIPS 2024 paper "einspace: Searching for Neural Architectures from Fundamental Operations"☆30Feb 13, 2026Updated 3 months ago
- Following research on S4 in jax☆16Jun 15, 2022Updated 3 years ago
- Official repository of the xLSTM.☆2,159Nov 4, 2025Updated 6 months ago
- ☆15Jul 25, 2025Updated 9 months ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- ☆78Mar 6, 2026Updated 2 months ago
- ☆13Sep 21, 2021Updated 4 years ago
- Algorithmic Trading Using Deep Reinforcement Learning algorithms (PPO and DQN)☆20Feb 13, 2026Updated 3 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- a minimal website to get the diff of llm rewrites☆11Dec 11, 2024Updated last year
- ☆16Mar 14, 2024Updated 2 years ago
- Cheat sheet for the "Deep Learning" course at ETH Zürich☆20Nov 13, 2019Updated 6 years ago
- xLSTMTime for time series forecasting☆186Nov 25, 2024Updated last year
- QuantTraderDL combines quantitative finance and AI, using TFT models to forecast major indices (S&P 500, Nasdaq, IBEX 35, Dow Jones, EURO…☆21May 21, 2025Updated 11 months ago
- ☆18Apr 24, 2024Updated 2 years ago
- 多因子打分选股☆13Jan 12, 2022Updated 4 years ago
- Drift-Resilient TabPFN is a method using In-Context Learning via a Prior-Data Fitted Network, to address temporal distribution shifts in …☆28May 17, 2025Updated last year
- An open, end-to-end implementation of TabPFN-like foundation models, covering synthetic priors/data, training, and evaluation on TabArena…☆34Mar 22, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Fetch the Realtime Data From Tradingview for any Segment☆40Mar 13, 2024Updated 2 years ago
- This is a non-official implementation of the trend labeling method proposed in the paper "A Labeling Method for Financial Time Series Pre…☆50Jan 18, 2025Updated last year
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- Generate descriptions automatically for 3D shapes in ShapeNet via cross-modal joint embedding☆15Jan 4, 2019Updated 7 years ago
- My peak detection programs☆16Nov 5, 2017Updated 8 years ago
- Sample notebooks for Juno☆11Mar 1, 2025Updated last year
- Support repository for the functional programming lecture (Haskell)☆19Jul 27, 2025Updated 9 months ago
- Developing hybrid deep learning models by integrating Neural networks with (s,e,t)GARCH models to predict volatility in the Indian Commod…☆19May 21, 2021Updated 4 years ago
- Official JAX implementation of xLSTM including fast and efficient training and inference code. 7B model available at https://huggingface.…☆105Apr 8, 2026Updated last month
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ⚡ Easy API access to the tabular foundation model TabPFN ⚡☆238May 13, 2026Updated last week
- Efficient and easy to use fractional differentiation transformations for stationarizing time series data in Python.☆22Feb 10, 2023Updated 3 years ago
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆294Updated this week
- ☆85Mar 6, 2024Updated 2 years ago
- Beginner-friendly collection of Python API tutorials, including Twitter data, COVID-19 data, and price information on stocks and cryptocu…☆17Jan 19, 2023Updated 3 years ago
- ☆20Apr 19, 2021Updated 5 years ago
- Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis☆36Apr 28, 2019Updated 7 years ago