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Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Ma...

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I created my own callback to do some tracking with Weights and Biases. ``` class WandBCallback(Callback): import wandb def __init__(self, project, data_creator): self.run = None self.model = None self.params =...

user issue

``` autoformer = AutoformerForecaster(past_seq_len=look_back, future_seq_len=horizon, input_feature_num=321, output_feature_num=321, label_len=label_len, freq='h', seed=1024, loss="mse", metrics=['mae', 'mse', 'mape'], lr=0.0001, d_model=128, d_ff=64, e_layer=2, n_head=2) autoformer.fit(train_loader, epochs=2, batch_size=32) autoformer.trainer.fit(autoformer.internal, train_loader) ``` and the second fit is...

Chronos

Documentation: - [x] Architecture of the serving pipelines - [x] Schema of the parquet files - [x] Schema of the redis tables and configs - [x] List of the services...

friesian

For negative sampling and add_negative_history in DIEN procssing Recdp and ai matrix generate a list that contains all the items in the reviews including duplicate items and randomly select a...

friesian

Operations supported by NVTabular: - [ ] Normalize (mean std, continuous columns) - [x] NormalizeMinMax (min max method) - [x] FillMedian (replaces missing values with the median value for the...

friesian

When using the add_neg_hist_seq and add_hist_seq method in Friesian, it only allows list of int in the columns, it doesn't allow list of string in the column. ![image](https://user-images.githubusercontent.com/48541207/132678239-c001fc53-cebf-4aa4-ba4c-68681fdbd0fb.png) So string...

friesian
enhancement

- missing Model and fit related arguments specification (e.g. fit takes Spark Dataframe input as well) - use sphinx API autodoc for API doc generation

document
DLlib

Although I fixed seed in this code(https://github.com/intel-analytics/BigDL/blob/main/python/chronos/use-case/electricity/autoformer.py), the results after each fit are different, and the gap is very large (MSE: 0.26-0.4).

Chronos

Also to fix https://github.com/intel-analytics/BigDL/issues/4970, here add automatic detection of redundant input names in trace with onnxruntime.

Nano