Abdul Fatir

Results 24 issues of Abdul Fatir

Hi @kwotsin! Awesome work with this repo! Would it be possible for you to release the pre-trained discriminators too?

question

*Issue #, if available:* *Description of changes:* Adds the code for our NeurIPS 2021 paper *Deep Explicit Duration Switching Models for Time Series* to the nursery. By submitting this pull...

new feature

In `preprocess_csv` function in `preprocess.py` ([link](https://github.com/abdulfatir/twitter-sentiment-analysis/blob/master/preprocess.py#L71)), pandas can be used to parse the csv more efficiently and with way less code. The machine I was using while developing the project...

help wanted
good first issue
Hacktoberfest

https://github.com/eelxpeng/UnsupervisedDeepLearning-Pytorch/blob/6ea7b7151ae62bf0130b56cc023f2be068aa87f0/udlp/clustering/vade.py#L119 Hi! In this line, why did you replace `-` (minus) with `+` at the end?

*Description of changes:* This PR adds the observation mask as an input feature to DeepAR. Previously lags were fed into the model but the model had no information on whether...

enhancement
BREAKING
models
torch

## Description Currently predictors are serialized into directories which are a bit difficult to move around. It would be nice to save the predictor as (and load it from) an...

enhancement

## Description `DeepStateEstimator` crashes when trained on the `solar_nips` dataset. It looks like the reason is that the PSD constraint is not being satisfied for one of the matrices. ##...

bug

## Description Several baseline models (e.g., trivial predictors, seasonal naive) do not support multivariate data. ## Environment - Operating system: MacOS 12.6 - Python version: 3.8 - GluonTS version: 0.12.3...

enhancement
multivariate

Opening this as a FAQ. The [`pipeline.predict`](https://github.com/amazon-science/chronos-forecasting/blob/main/src/chronos/chronos.py#L309) interface accepts either a 1D/2D tensor or a list of tensors. If you want to perform inference on a large dataset, you can...

FAQ

Opening this as a FAQ. - `num_samples` specifies the number of sample forecast paths that will be generated to construct the probabilistic forecast. We used 20 samples in the paper...

FAQ