German's repositories
nyc-fastai-study-group
For the Fastai NYC Study Group
apl-study
fast.ai APL study group notes
course22p2
course.fast.ai 2022 part 2 - under construction
Deep-Learning
A few notebooks about deep learning in pytorch
deeplearning_keras2
Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.
DLaaS-Getting-StartedTutorial
A Getting Started Tutorial to get you quick-started on using the IBM Watson Studio DLaaS (Deep Learning as a Service) via the Command Line Interface (CLI). Covers basic pre-requisites, creating a Machine Learning Instance, Cloud Object Storage, etc. and a simple demo.
DO180-apps
DO180 Repository for Sample Applications
fastai_v1
Initial dev of v1 of fastai
fastbook
The fastai book, published as Jupyter Notebooks
furry
testing
Miniai
Documented and improved mine library based on Fastai course
MITIBMCloud
Repo for information relevant to IBM Cloud use in MIT
notebooks
Notebooks using the Hugging Face libraries 🤗
OpenAI
Experiments with OpenAI
paperspace-setup
Setup a paperspace instance for fastai
pytorch-cifar10-in-ibm-cloud
This repo is for the IBM MIT AI Lab to use DLaaS in IBM Watson Studio. The demo will use Pytorch to train VGG for CIFAR10. The code is forked from kuangliu (https://github.com/kuangliu/pytorch-cifar) and adapted for submitting the model to IBM Watson Machine Learning on Watson Studio for training. It is meant to get you quick-started. We hope you have some fun running your first models in IBM Cloud
pytorch-Deep-Learning-Minicourse
Minicourse in Deep Learning with PyTorch