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Merlin Models is a collection of deep learning recommender system model reference implementations

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### Bug description I run a training script and reinitialize nvtabular dataloaders. After each initialization, the available GPU memory decreases (fmem = pynvml_mem_size(kind="free", index=0) ). That is unexpected. The available...

bug
question
P0

We have had a couple of discussions recently on exploring using H&M data. Also, some time ago we discussed creating an example around using HPO (it can be a nice...

documentation
examples

A draft PR that shows the workflow. Depends on #783. Currently uses a workaround that re-partitions the dataset, i.e., `ddf = train.to_ddf().repartition(npartitions=hvd.size())`. After some preprocessing with nvtabular, the training code...

### Description Currently there is no out-of-the-box api for creating an LSTM, BiLSTM and GRU architectures for a session-based (or sequential) task. - For LSTM , I assume we'd use...

enhancement
area/session-based

### Description For Transformers4Rec, we have created a training/eval [script](https://github.com/NVIDIA-Merlin/Transformers4Rec/tree/main/examples/t4rec_paper_experiments) for reproducing the [paper experiments](https://dl.acm.org/doi/10.1145/3460231.3474255), that takes a set of hparams as command line arguments and a preprocessed dataset. This...

### Goals :soccer: - Improve iteration speed by reducing the running time of unit tests ### Implementation Details :construction: ### Testing Details :mag:

### Description Currently we do not have any unit test for using LSTM or BiLSTM for session-based recommendation tasks. it'd be useful to add one. For LSTM we'd use `tf.keras.layers.LSTM`...

### Bug description In data parallel training, we start multiple workers with different initialization of the dataloader and train with horovod. After each batch update, the parameters are synced. Merlin...

bug
P0