Mlearning.ai

FEBRUARY 4, 2023

TL;DR Structuring Python projects is very important for proper internal working, as well as for distribution to other users in the form of packages. There are two main general structures: the flat layout vs the src layout as clearly explained in the official Python packaging guide here. Package your project source code folder.

Python 52

Python Metadata Explainability Data Science 52

AWS Machine Learning Blog

MAY 22, 2024

First, launch the notebook main.ipynb in SageMaker Studio by selecting the Image as Data Science and Kernel as Python 3. jpg and the complete metadata from styles/38642.json. target_modules=["q", "v"], ) model = get_peft_model(model, config) We reference entrypoint_vqa_finetuning.py bias="none", # the bias type for Lora.

Generative AI 103

Generative AI Natural Language Processing Machine Learning Large Language Models 103

PyImageSearch

MARCH 13, 2023

Bonus Hugging Face has multiple Python libraries under its umbrella: datasets , transformers , evaluate , and accelerate , just to name a few! This comes in handy as Python indexing starts from 0 , and we will need the labels to start from 0 to calculate the loss terms correctly. dropout ratio) and other relevant metadata (e.g.,

Computer Vision 117

Computer Vision Deep Learning Neural Network Metadata 117

AWS Machine Learning Blog

JUNE 6, 2023

Our next generation release that is faster, more Pythonic and Dynamic as ever for details. After model training is complete, package the saved model, inference scripts, and a few metadata files into a tar file that SageMaker inference can use and upload the model package to an Amazon Simple Storage Service (Amazon S3) bucket.

ML 67

ML Deep Learning BERT Python 67

AWS Machine Learning Blog

MAY 31, 2023

One of the primary reasons that customers are choosing a PyTorch framework is its simplicity and the fact that it’s designed and assembled to work with Python. TorchScript is a static subset of Python that captures the structure of a PyTorch model. docker run --gpus=all --rm -it -v `pwd`/workspace:/workspace nvcr.io/nvidia/pytorch:23.02-py3

ML 78

ML Auto-classification Auto-complete Natural Language Processing 78

AWS Machine Learning Blog

AUGUST 8, 2023

First, a preprocessing model is applied to the input text tokenization (implemented in Python). format(model_uri)) Prepare the TensorRT and Python ensemble For this example, we use a pre-trained model from the transformers library. docker run --gpus=all --rm -it -v `pwd`/workspace:/workspace nvcr.io/nvidia/pytorch:22.10-py3

BERT 75

BERT Deep Learning Auto-classification ML 75

John Snow Labs

JUNE 1, 2023

De-identification of DICOM DICOM (Digital Imaging and Communications in Medicine) defines a set of protocols for formatting and exchanging medical images and associated data, including patient information, diagnostic information, and other metadata. They store, transmit, and manage medical images along with other related information.

NLP 52

NLP Natural Language Processing Metadata Algorithm 52