Scott Mueller's repositories
dl_foundations_in_elixir
Deep Learning from the Foundations with Elixir. This repository is a transformation of the 2022 version of Fast.ai's Deep Learning for Coders Part 2 into Elixir. These code notebooks follow the notebooks from the [first portion](https://github.com/fastai/course22p2) of the course.
semi_supervised
Study Group Presentation on Semi Supervised Learning Papers
ai_tampa_study_group
Meeting Intro Charts for the Tampa AI meetup group discussions
axon
Nx-powered Neural Networks
axon_onnx
Easily convert models between ONNX and Axon
bumblebee
Pre-trained Neural Network models in Axon (+ 🤗 Models integration)
deploying_deep_learning
Presentation on smaller scale Python Deep Learning topics for Tampa.ai Meetup Group.
economical_dl
Using Fast.ai V2 on the edge with Google Colab
fastai_course22
Notebooks derived from Fast.ai's course22 repository
learn_from_fastai
What can you learn from Fast.ai MOOC
liveview_components
Presentation to Meetup Group on Liveview Components
ml_bias_risk_preso
Machine Learning Product Management: Bias and Risk Management Presentation
nlp_for_text_classification
Presentation on NLP Text Classification using transfer Learning
nx_image
Image processing in Nx
overview_liveview
Overview Presentation about Liveview
problem_notebooks
Sharing notebooks that exhibit problems
repair_image_wo_gan
Presentation on Super-resolution and image transformation without a GAN
segmentation_w_unet
Presentation on Segmentation using UNet
tabular_data_neuralnet
Presentation on making tabular data predictions with Neural Nets
training_in_elixir
Example notebooks for training DL models in Elixir/Nx/Axon
what_can_fastai_nlp
Presentation to TampaAI Meetup Group