SaaSHub helps you find the best software and product alternatives Learn more →
Flow-forecast Alternatives
Similar projects and alternatives to flow-forecast
-
-
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
-
-
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
xgboost-survival-embeddings
Improving XGBoost survival analysis with embeddings and debiased estimators
-
-
tsfeatures
Calculates various features from time series data. Python implementation of the R package tsfeatures.
-
-
Lime-For-Time
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better flow-forecast alternative or higher similarity.
flow-forecast reviews and mentions
Posts with mentions or reviews of flow-forecast.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-07.
-
Cash-flow forecasting
-Flow
-
[P] Deep Learning for time series forecasting (neuralforecast, python package)
How does it compare to Flow Forecast? Honestly people rarely mention FF but I've found it much better than pytorch_forecasting and the like.
-
PyTorch Forecasting lr_find out of bounds - request for help
PyTorch forecasting has a lot of bugs in it. You should try posting on issue on the actual repository though. Also, I've found Flow Forecast to be an all around much better deep learning for time series forecasting/classification framework.
-
Hello reddit, what time series forecasting tools are you using?
If you want to use deep learning then Flow Forecast is the best. Many of the latest deep learning models and easy hyper-parameter sweeps.
-
Understanding LSTM predictions
I haven't personally tried it, but here's a Github Repo called LIME for Time. I'm not sure about the state of attention visualization for timeseries but this repo has several models using attention.
- Flow Forecasting: A state of the deep learning for time series library
-
Flow Forecast (deep learning for time series forecasting framework) Version 0.95 Released: New Deep Learning Models, Better Interpretability Support, and Several Bug Fixes
Hey everyone, just released a new Flow Forecast a deep learning for time series forecasting framework written in PyTorch. For this new version we added models, fixed several annoying bugs, and created better error messages. See the improved framework and tutorials Link
-
Forecasting multiple time series ideas
This is actually a good case for deep learning techniques that create a learned time series embedding id and/or graph convolutions. The advantage of these methods is the can [learn spatial temporal dependencies across several time series](Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation). There are some implementations that you can find of these models that you can find in the repository that deep learning for time series repo I maintain.
- Deep Learning for Time Series Forecasting with Flow Forecast (Built in PyTorch)
-
Financial time-series data forecasting - any other tools besides Prophet?
I mean a lot of deep learning models are more interpretable than you would think. There are a lot of methods to explain model predictions. In the deep learning for time series forecasting framework that I help maintain for example we automatically create SHAP plots to show relevant features. You can also visualize the attention mechanism directly.
-
A note from our sponsor - SaaSHub
www.saashub.com | 19 Apr 2024
Stats
Basic flow-forecast repo stats
13
1,874
9.5
8 days ago
AIStream-Peelout/flow-forecast is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of flow-forecast is Python.
Popular Comparisons
- flow-forecast VS darts
- flow-forecast VS tsai
- flow-forecast VS neural_prophet
- flow-forecast VS neuralforecast
- flow-forecast VS Time-Series-Forecasting-Using-LSTM
- flow-forecast VS xgboost-survival-embeddings
- flow-forecast VS statsforecast
- flow-forecast VS greykite
- flow-forecast VS mlforecast
- flow-forecast VS Lime-For-Time
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com