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dlaicourse. Notebooks for learning deep learning

5.6k

tfbook. Jupyter Notebook

721

mlday-tokyo. Colabs for ML Day Tokyo

148

io19. Jupyter Notebook

84

odmlbook. Swift

67

PyTorch-Book-FIles. Files for my PyTorch book

65

synthetic_datasets. Repository for Synthetic datasets I'm creating

38

android-beans-demo. Stuff for the android ML demo for beans app

36

funcode. Repository for bits and pieces I'm working on

27

google-services. A collection of quickstart samples demonstrating the Google APIs for Android and iOS

14

tensorflow. Computation using data flow graphs for scalable machine learning

10

myblogcode. Code from my blog

9

llmops. Code for LLMOps

9

lmoroney.

9

datasets. TFDS is a collection of datasets ready to use with TensorFlow

4

cs249r_book. Introduction to Machine Learning Systems

4

blog-content. Jekyll Blog Content

3

apps. A variety of different apps and projects created

2

lmoroney.github.io. My Personal Site

2

toxicity. Using Toxicity on Vercel

2

tfjs-stuff. Playground for TFJS Experiments

2

test-fun. Test For Fun

2

gemma_course. Files for LinkedIn Gemma course

2

biasexplore. Exploring Embeddings Biases

2

k-9. K-9 Mail, An advanced email client for Android

2

tfjs. A WebGL accelerated JavaScript library for training and deploying ML models.

1

examples. Example Agent and Datapacks

1

pesonal-site.

1

LinkedInGemma. LinkedIn Gemma course

1

fcm-app-server. Simple App Server for Firebase Cloud Messaging

1

personal-site. My Personal Site

1

codelab-textclassification-android. Jupyter Notebook

1

ai-visualizations.

1

ResponsibleAI. Jupyter Notebook

1

quickstart-android. Firebase Quickstart Samples for Android

1

simple-benchmark. Simple benchmarks for testing hosted LLMs

1

Laurence Moroney