1 रिपॉजिटरी
Utilities for wrapping arbitrary functions as nn.Module layers for use in sequential models.
Distinct from Sequential Layer Containers: Distinct from Sequential Layer Containers: focuses on wrapping single functions as layers, not general layer grouping.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Lambda Layer Wrappers. Refine with filters or upvote what's useful.
This is a structured deep learning curriculum for programmers, delivered as a collection of Jupyter notebooks. It teaches the fundamentals of training neural networks for computer vision, natural language processing, tabular data analysis, and collaborative filtering using PyTorch and the fastai library. The course is designed to be hands-on, guiding learners from building a training loop from scratch to fine-tuning pretrained models for a variety of practical tasks. The curriculum distinguishes itself by covering the full lifecycle of a deep learning project, from data preparation and augmen
Provides lambda layer wrappers that convert functions into PyTorch modules for sequential models.