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Ritchie Ng's Projects

apptainer-recipes icon apptainer-recipes

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

deep-learning-wizard icon deep-learning-wizard

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

dlami icon 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.

fractional_differencing_gpu icon 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.

numnum icon numnum

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

optim icon optim

A numeric optimization package for Torch.

pandas-guides icon pandas-guides

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

python-for-everybody icon 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.

resnet-tensorflow icon resnet-tensorflow

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

ritchieng.github.io icon ritchieng.github.io

My personal repository of notes served through Github pages at http://www.ritchieng.com/

the-incredible-pytorch icon the-incredible-pytorch

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

the-incredible-rapids icon the-incredible-rapids

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

the-incredible-tensorflow icon the-incredible-tensorflow

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

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