Search Results for "building"

The Recommenders repository provides examples and best practices for building recommendation systems, provided as Jupyter notebooks. The module reco_utils contains functions to simplify common tasks used when developing and evaluating recommender systems. Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data.

Megatron-LM is a GPU-optimized deep learning framework from NVIDIA designed to train extremely large transformer-based language models efficiently at scale. The repository provides both a reference training implementation and Megatron Core, a composable library of high-performance building blocks for custom large-model pipelines. It supports advanced parallelism strategies including tensor, pipeline, data, expert, and context parallelism, enabling training across massive multi-GPU and multi-node clusters. The framework includes mixed-precision training options such as FP16, BF16, FP8, and FP4 to maximize performance and memory efficiency on modern hardware. ...

...Although installing newspaper is simple with pip, you will run into fixable issues if you are trying to install on ubuntu. Source objects are an abstraction of online news media websites like CNN or ESPN. You can initialize them in two different ways. Building a Source will extract its categories, feeds, articles, brand, and description for you. You may also provide configuration parameters like language, browser_user_agent, and etc seamlessly.