ritchieng Goto Github PK
Name: Ritchie Ng
Type: User
Company: Imperial College London | NUS
Bio: About: ritchieng.live • Notes: ritchieng.com • Guides: deeplearningwizard.com
Twitter: RitchieNg
Location: Singapore
Blog: deeplearningwizard.com
Name: Ritchie Ng
Type: User
Company: Imperial College London | NUS
Bio: About: ritchieng.live • Notes: ritchieng.com • Guides: deeplearningwizard.com
Twitter: RitchieNg
Location: Singapore
Blog: deeplearningwizard.com
Apptainer (formerly Singularity) Definition and SIF Files for Easy & Replicable HPC Data & AI Workloads
A curated list of awesome Databricks resources, including tutorials, notebooks, libraries, and tools.
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.
PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
Rapid large-scale fractional differencing with NVIDIA RAPIDS and GPU to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.
Back-end source for Kinsheep's mobile applications' front-end powered by Ionic, AngularJS, HTML5 and CSS
Front-end code for Kinsheep's iOS and Android applications using Ionic, AngularJS, HTML5 and CSS.
Kinsheep's website using Express.js, Node.js, HTML5 and CSS
Detailed notes and code to learn the basics of machine learning with scikit-learn.
Codes, notes and guides on Udacity's machine learning nanodegree.
Notes and Octave/Matlab code for introductory Machine Learning theory.
A Material Design theme for MkDocs
Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
A numeric optimization package for Torch.
Detailed notes and codes on learning pandas quickly for machine learning.
This contains all the practices for the lectures, custom answers to the assignments and additional inline notes for "Python for Everybody Specialization" on Coursera by the University of Michigan.
Useful python scripts you can use in your projects
Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.
My personal repository of notes served through Github pages at http://www.ritchieng.com/
scikit-learn: machine learning in Python
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.
The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.
Wide Residual Networks implemented in TensorLayer and TensorFlow.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.