Godfred Gyimah's repositories
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
Augmentor
Image augmentation library in Python for machine learning.
auto_ml
Automated machine learning for analytics & production
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
contract
A signable contract that lives in a single file
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
crop_yield_prediction
Crop Yield Prediction with Deep Learning
data-engineering-101
Introduction to Data Engineering workshop, learn to build a data pipeline with Luigi!
datarobot-sagemaker-examples
This repository contains some sample notebooks illustrating the use of DataRobot and SageMaker
DCEC
A python + Keras implementation of Guo et al.'s 2018 paper "Deep Clustering with Convolutional Autoencoders"
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
docker-flask-image-recognition-sklearn
Dockerfile utilizing flask to host a scikit-learn image recognition model
GAN
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
gunicorn
gunicorn 'Green Unicorn' is a WSGI HTTP Server for UNIX, fast clients and sleepy applications.
h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
handong1587.github.io
Unsupervised Deep Learning papers and codes
imgaug
Image augmentation for machine learning experiments.
intro-to-computer-vision-with-python-opencv
An Introduction to Computer Vision using OpenCV with Python Bindings
labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
models
Models and examples built with TensorFlow
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
py-faster-rcnn
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
react-native
A framework for building native apps with React.
Sparkling-Water-with-Python
SPARK combined with scalable machine learning algorithms of H2O, with Python
swirl_courses
:mortar_board: A collection of interactive courses for the swirl R package.
tensorboard
TensorFlow's Visualization Toolkit
the-unix-workbench
:house_with_garden: A Book for Anyone to Get Started with Unix