napkin-dl Goto Github PK

dim

Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"

dist-practise

ecs-blueprints

ecsworkshop

edu-training

eks-gpu-autoscaling

eks-gpu-autoscaling

eks-workshop-sample-api-service-go

Sample Kubernetes service used in the EKS Workshop CI/CD CodePipeline module

elasticsearch

『시작하세요! 엘라스틱서치』 예제 코드

elasticsearch-test

end-to-end-pytorch-on-sagemaker

Building an end-to-end ML demo based on the PyTorch framework on SageMaker

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

facets

Visualizations for machine learning datasets

ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

ft-triton

glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

gpt-neox-on-sagemaker

gptj-on-sagemaker

guided-diffusion-on-sagemaker

hanet

Official PyTorch implementation of HANet (CVPR 2020)

huggingface-sagemaker-workshop-series

Enterprise Scale NLP with Hugging Face & SageMaker Workshop series

image-segmentation-with-bedrock-rekognition

image_segmentation

keras-idiomatic-programmer

Handbooks and Code Samples for Software Engineers wanting to learn the Keras Machine Learning framework

knowledge_distillation_methods_wtih_tensorflow

Knowledge distillation methods implemented with Tensorflow (now there are 5 methods, and will be added more.)

langchain-for-bedrock

langchain-kr

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

llama-3-on-sagemaker

m2det

M2Det implementation using TensorFlow

megatron-lm-sagemaker

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.