- London, UK
- https://verybigdata.github.io
Starred repositories
The gateway component to make Spark on K8s much easier for Spark users.
AI on GKE is a collection of examples, best-practices, and prebuilt solutions to help build, deploy, and scale AI Platforms on Google Kubernetes Engine
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
Configure and deploy complete EKS clusters.
This repository contains the development code for sparkMeasure, an Apache Spark performance analysis and troubleshooting library. It simplifies collecting, aggregating, and exporting Spark task/sta…
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Lab materials for the Full Stack Deep Learning Course
Public website for the Autumn 2019-2020 offering of Stanford's CS221 (artificial intelligence) class.
Code for 1st place solution in Kaggle RSNA Pneumonia Detection Challenge.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Latex code for making neural networks diagrams
A collection of pre-trained, state-of-the-art models in the ONNX format
Demo of running NNs across different frameworks
Resources for "Introduction to Deep Learning" course.
COMS W4995 Applied Machine Learning - Spring 18
Repo for the Deep Reinforcement Learning Nanodegree program
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
Contains files related to content and project of DSND Term 2



