Pinned Repositories
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
aquarel
Styling matplotlib made easy
awesome-deep-learning-papers
The most cited deep learning papers
course-v3
The 3rd edition of course.fast.ai - coming in 2019
datasciencecoursera
My work for the Coursera Data Science specialization
datasharing
The Leek group guide to data sharing
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
DenseNet
DenseNet implementation in Keras
dilation-keras
Multi-Scale Context Aggregation by Dilated Convolutions in Keras.
TF_MNIST_Demo
A brief demo application of TensorFlow applied to the MNIST dataset inspired by Dandelion Mane
larsaurdal's Repositories
larsaurdal/TF_MNIST_Demo
A brief demo application of TensorFlow applied to the MNIST dataset inspired by Dandelion Mane
larsaurdal/Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
larsaurdal/aquarel
Styling matplotlib made easy
larsaurdal/awesome-deep-learning-papers
The most cited deep learning papers
larsaurdal/course-v3
The 3rd edition of course.fast.ai - coming in 2019
larsaurdal/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
larsaurdal/DenseNet
DenseNet implementation in Keras
larsaurdal/dilation-keras
Multi-Scale Context Aggregation by Dilated Convolutions in Keras.
larsaurdal/DMTK
Microsoft Distributed Machine Learning Toolkit
larsaurdal/docker-python
Kaggle Python docker image
larsaurdal/docker-python0
First part of our Python Docker container
larsaurdal/docker-python1
Second stage of our Python container
larsaurdal/gan-intro
larsaurdal/Image-Super-Resolution
Implementation of Super Resolution CNN in Keras.
larsaurdal/ipynb-py-test
Test of exporting Jupiter notebooks to .py files
larsaurdal/jpeg_read
Small jpeg decoder written in Python with focus on readability.
larsaurdal/keras-mnist-tutorial
For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
larsaurdal/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
larsaurdal/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
larsaurdal/models
Models and examples built with TensorFlow
larsaurdal/multi-heads-attention-image-classification
Multi heads attention for image classification
larsaurdal/notebooks
Speedml Python Notebooks
larsaurdal/opencv
Open Source Computer Vision Library
larsaurdal/PyTorch-for-Deep-Learning-and-Computer-Vision-Course-All-Codes-
PyTorch for Deep Learning and Computer Vision Course
larsaurdal/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
larsaurdal/snorkel-tutorials
A collection of tutorials for Snorkel
larsaurdal/stat-learning
Notes and exercise attempts for "An Introduction to Statistical Learning"
larsaurdal/template-beamer-metropolis-from-orgmode
Set of files to create beamer presentation, from Emacs' orgmode, in the beamer 'metropolis' theme
larsaurdal/tensorflow
Computation using data flow graphs for scalable machine learning
larsaurdal/zsh-autosuggestions
Fish-like autosuggestions for zsh