Ritchie Ng

the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

deep-learning-wizard. Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.

dlami. 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.

eigenvectors-from-eigenvalues. PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.

machine-learning-nanodegree. Codes, notes and guides on Udacity's machine learning nanodegree.

ritchieng.github.io. My personal repository of notes served through Github pages at www.ritchieng.com

fractional_differencing_gpu. 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.

python-for-everybody. 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.

wideresnet-tensorlayer. Wide Residual Networks implemented in TensorLayer and TensorFlow.

NumNum. Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.

machine-learning-dataschool. Detailed notes and code to learn the basics of machine learning with scikit-learn.

resnet-tensorflow. Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.

the-incredible-tensorflow. The Incredible TensorFlow 2: a curated list of tutorials, papers, projects, communities and more relating to TensorFlow 2.

pandas-guides. Detailed notes and codes on learning pandas quickly for machine learning.

the-incredible-ai-agents. The Incredible AI Agents: a curated list of resources on building, evaluating, deploying, monitoring AI Agents

machine-learning-stanford. Notes and Octave/Matlab code for introductory Machine Learning theory.

the-incredible-rapids. The Incredible RAPIDS: a curated list of tutorials, papers, projects, communities and more relating to RAPIDS.

apptainer-recipes. Apptainer (formerly Singularity) Definition and SIF Files for Easy & Replicable HPC Data & AI Workloads

tutorials. Jupyter Notebook

scikit-learn. scikit-learn: machine learning in Python

optim. A numeric optimization package for Torch.

python-scripts. Useful python scripts you can use in your projects

kinsheep-ionic-application. Front-end code for Kinsheep's iOS and Android applications using Ionic, AngularJS, HTML5 and CSS.

awesome-databricks. A curated list of awesome Databricks resources, including tutorials, notebooks, libraries, and tools.