Pinned Repositories
GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
linuxcfg
My Linux configurations
playground-nemo-2.0-gh
My playground to dev/test nemo-2.0
playground-tiny-gpu-genai
Dev/test ML/AI/GenAI algos/models on a single GPU with tiny memory.
py-ds-template
Cookiecutter template for a Python data science project
pyutil
Collections of code fragments
pyutil-02
Assorted utilities
simple-project-template
Template for a bare-bone software project.
verdimrc's Repositories
verdimrc/apjc-pcluster-workshop
verdimrc/aws-ai-ml-workshop-kr
A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.
verdimrc/cunn
Various bug fixes to make cunn works on Jetson TK1
verdimrc/entity-embedding-rossmann
verdimrc/hadrian
Implementations of the Portable Format for Analytics (PFA)
verdimrc/hadrian-old
Implementations of the Portable Format for Analytics (PFA)
verdimrc/IntegratedGradients
Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.
verdimrc/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
verdimrc/learn-js
A beginner's journey with JavaScript and HTML5
verdimrc/nfldb
A library to manage and update NFL data in a relational database.
verdimrc/personalize-workshop
Amazon Personalize Workshop
verdimrc/pnd2pcd_batch
Small utility to convert pair of depth\rgb PNG files into pointcloud's PCD files
verdimrc/pygiltest
Demonstrate effect of Python's GIL on multi-threading parallelism
verdimrc/sagemaker-custom-training-containers
Implementations of Amazon SageMaker-compatible custom containers for training.
verdimrc/sagemaker-groundtruth-ner
This is a sample template for SageMaker named entity recognition ground truth solution
verdimrc/sam-cleaner
This SAM automates the cleaning-up of AWS resources created by EC2 instances that are members of an ASG, to prevent those resources from lingering forever in your AWS account.
verdimrc/shap
A unified approach to explain the output of any machine learning model.
verdimrc/spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython
verdimrc/tinybmk
Simple exercises to compare several languages I'm comfortable with
verdimrc/TreeExtra
Additive Groves, Bagged Trees with Feature Evaluation, Interaction Detection, Visualization of Feature Effects.