Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression. Learn more →
Similar projects and alternatives to pytorch-forecasting
A python library for user-friendly forecasting and anomaly detection on time series.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
Scalable and user friendly neural :brain: forecasting algorithms.
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
A machine learning toolkit dedicated to time-series data
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
High-quality implementations of standard and SOTA methods on a variety of tasks.
Deep and online learning with spiking neural networks in Python
NumPy aware dynamic Python compiler using LLVM
Lightning ⚡️ fast forecasting with statistical and econometric models.
Automated ⚙️ time series forecasting.
Scalable machine 🤖 learning for time series forecasting.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
pytorch-forecasting reviews and mentions
LSTM/CNN architectures for time series forecasting[Discussion]
3 projects | reddit.com/r/MachineLearning | 6 May 2022
[P] Beware of false (FB-)Prophets: Introducing the fastest implementation of auto ARIMA [ever].
10 projects | reddit.com/r/MachineLearning | 22 Feb 2022
To name a few: https://github.com/jdb78/pytorch-forecasting, https://github.com/unit8co/darts, https://github.com/Nixtla/neuralforecast
A python library for easy manipulation and forecasting of time series.
3 projects | reddit.com/r/algotrading | 12 Aug 2021
Darts is a pretty nice one. I've recently been using pytorch-forecasting for larger models like the Temporal Fusion Transformer. https://github.com/jdb78/pytorch-forecasting
A note from our sponsor - InfluxDB
www.influxdata.com | 31 Mar 2023
jdb78/pytorch-forecasting is an open source project licensed under MIT License which is an OSI approved license.
- pytorch-forecasting VS darts
- pytorch-forecasting VS Prophet
- pytorch-forecasting VS Lime-For-Time
- pytorch-forecasting VS pytorch-lightning
- pytorch-forecasting VS neuralforecast
- pytorch-forecasting VS tslearn
- pytorch-forecasting VS Informer2020
- pytorch-forecasting VS uncertainty-baselines
- pytorch-forecasting VS snntorch
- pytorch-forecasting VS DeepSpeed