hmelo Goto Github PK

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

datasharing

The Leek group guide to data sharing

deep_dreams

Let's create some trippy yet artistic images using ConvNets in TensorFlow through Google's Inception Network.

deeplearning-projects

fmri_pipeline

Collection of analysis scripts, including preprocessing, RSA, connectivity, MLM, FIR, etc.

generative-adversarial-network-tutorial

Tutorial on creating your own GAN in Tensorflow

icml2016

Generative Adversarial Text-to-Image Synthesis

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

ipn_baycrest

IPN Baycrest data competition

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ml-tutorials

I've created a number of tutorials on Machine Learning and Data Science to help people get started. They are annotated as jupyter notebooks. Some basic programming ability in python is required, as well as some familiarity with popular numerical libraries such as numpy, pandas, sklearn.

neural-style-transfer

Generate novel artistic images using neural style transfer algorithm

nextai-machinelearning

Materials for the NextAI Technical Stream Course on Machine Learning

nuclei_segmenter_counter

Deployment of U-net for nuclei segmentation and counting.

pokemon_gan

This is the code for "Generating Pokemon with a Generative Adversarial Network" by Siraj Raval on Youtube

pyro

Deep universal probabilistic programming with Python and PyTorch

qboost

retina-unet

Retina blood vessel segmentation with a convolutional neural network

rigetti_training_material

Slide decks and Jupyter notebooks for training on Rigetti's quantum software stack at the Creative Destruction Lab 2018.

sharpest_minds_sample_project

smlc

Stockholm Machine Learning Club

stock-market-prediction-with-deeplearning

tensorflow

Computation using data flow graphs for scalable machine learning

urban-environments

Code for constructing the urban environments dataset and for land use classification via convolutional neural networks