Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.
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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, C++ 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.
Archived Website of Hessian Matrix
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
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.