Pinned Repositories
amazon-sagemaker-entrypoint-utilities
Sample utilities to shorten or simplify Amazon SageMaker's training entrypoint: logging handlers, silenced tqdm, hyperparameter parsings, etc.
amazon-sagemaker-gluonts-entrypoint
Sample GluonTS entrypoint scripts for Amazon SageMaker.
amazon-textract-serverless-large-scale-document-processing
Process documents at scale using Amazon Textract
rl-testbed-for-energyplus
Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
sagemaker-custom-training-containers
Implementations of Amazon SageMaker-compatible custom containers for training.
yapweiyih's Repositories
yapweiyih/amazon-sagemaker-entrypoint-utilities
Sample utilities to shorten or simplify Amazon SageMaker's training entrypoint: logging handlers, silenced tqdm, hyperparameter parsings, etc.
yapweiyih/amazon-sagemaker-gluonts-entrypoint
Sample GluonTS entrypoint scripts for Amazon SageMaker.
yapweiyih/rl-testbed-for-energyplus
Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
yapweiyih/sagemaker-custom-training-containers
Implementations of Amazon SageMaker-compatible custom containers for training.
yapweiyih/amazon-textract-serverless-large-scale-document-processing
Process documents at scale using Amazon Textract
yapweiyih/aws-cloudformation-templates
A collection of useful CloudFormation templates
yapweiyih/blogpost
yapweiyih/code-sharing
yapweiyih/deepspeed-on-aws
yapweiyih/diaglogflow-practise
yapweiyih/djl-serving
A universal scalable machine learning model deployment solution
yapweiyih/ForecastPOC
A collection of notebooks and resources to operate an Amazon Forecast POC in a box.
yapweiyih/iSpindel
electronic Hydrometer
yapweiyih/jupyter_environment_kernels
An Jupyter plugin to enable the automatic detection of conda and virtualenv environments as kernels.
yapweiyih/linuxcfg
My Linux configurations
yapweiyih/mlmax
Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.
yapweiyih/nn
š§ Minimal implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.
yapweiyih/Open_Data_QnA
The Open Data QnA python library enables you to chat with your databases by leveraging LLM Agents on Google Cloud. Open Data QnA enables a conversational approach to interacting with your data.
yapweiyih/PersonalizePOC
POC In a box guide material for Amazon Personalize
yapweiyih/python-project-skeleton
A simple project structure for Python
yapweiyih/pytorch-widedeep
A flexible package to combine tabular data with text and images using Wide and Deep models in Pytorch
yapweiyih/pyutil
Collections of code fragments
yapweiyih/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
yapweiyih/reStructuredText-Documentation-Reference
Tutorial and reference for reStructuredText documentation.
yapweiyih/smallmatter-package
Sample wrappers to streamline data-science tasks using Python toolkits (such as pandas, matplotlib, etc.) on AWS.
yapweiyih/smworkshop
yapweiyih/template-doc
yapweiyih/ts-crash-course
yapweiyih/uc-job-search-deployment