Nixtla Neural Forecast Files

Scalable and user friendly neural forecasting algorithms.

This is an exact mirror of the Nixtla Neural Forecast project, hosted at https://github.com/Nixtla/neuralforecast. SourceForge is not affiliated with Nixtla Neural Forecast. For more information, see the SourceForge Open Source Mirror Directory.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2025-05-13	765 Bytes	0
v3.0.1 source code.tar.gz	2025-05-13	22.2 MB	0
v3.0.1 source code.zip	2025-05-13	22.4 MB	0
Totals: 3 Items		44.5 MB	0

Features

FEAT: Select basis functions in NBEATS @tblume1992 @marcopeix (#1191)
FEAT: Add flash-attention @LeonEthan (#1295)
FEAT: HuberIQLoss @elephaint (#1307)

Bug Fixes

FIX: Fix iPython version @elephaint (#1282)
FIX: Recurrent predictions @elephaint (#1285)
FIX: Fix poor performance with the NegativeBinomial DistributionLoss @JQGoh (#1289)
FIX: Add exclude_insample_y param to TimeXer for model loading @marcopeix (#1306)
FIX: Set 2.0.0<=pytorch<=2.6.0 to avoid conflicts with networkx with Python 3.9 @marcopeix (#1318)
FIX: Create windows once @elephaint (#1325)
FIX: Add h_train to RNNs & fix issue with input_size @elephaint (#1326)
FIX: Allow static vars only with NBEATSx and exogenous block @marcopeix (#1319)

Source: README.md, updated 2025-05-13

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