GoogleCloudPlatform / keras-idiomatic-programmerLinks
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
☆816Updated 4 years ago
Alternatives and similar repositories for keras-idiomatic-programmer
Users that are interested in keras-idiomatic-programmer are comparing it to the libraries listed below
Sorting:
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆934Updated last year
- Contains my explorations of TensorFlow 2.x☆380Updated 3 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆595Updated 5 years ago
- Lab materials for the Full Stack Deep Learning Course☆1,214Updated 3 years ago
- Full Stack Deep Learning Online Course☆903Updated 4 years ago
- Research papers with annotations, illustrations and explanations☆829Updated 4 years ago
- Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book☆300Updated 5 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆609Updated 2 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆541Updated 6 years ago
- Notebooks for the "A walk with fastai2" Study Group and Lecture Series☆747Updated 3 years ago
- Machine Learning on Google Cloud Platform☆506Updated 2 months ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆580Updated 2 years ago
- Utilities for working with image data, text data, and sequence data.☆1,025Updated 3 years ago
- fast.ai early development experiments☆645Updated 2 years ago
- Deep learning simplified by transferring prior learning using the Python deep learning ecosystem☆831Updated 4 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆755Updated 4 years ago
- Companion repository for the book Building Machine Learning Powered Applications☆685Updated 2 years ago
- Complete deep learning project developed in Full Stack Deep Learning, Spring 2021☆446Updated 3 years ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆600Updated 2 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆574Updated 5 years ago
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course☆1,922Updated 2 years ago
- PyTorch Tutorial (1.7)☆457Updated 4 years ago
- Readable implementation of a Capsule Network as described in "Dynamic Routing Between Capsules" [Hinton et. al.]☆373Updated 5 years ago
- Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow☆351Updated 4 years ago
- ☆345Updated 5 years ago
- Deep Learning Cookbox☆694Updated 4 years ago
- Starter app for fastai v3 model deployment on Render☆219Updated 2 years ago
- ☆504Updated last year
- ☆197Updated 3 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆492Updated 6 years ago