Pinned Repositories
amazon-personalize-movielens
CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
darknet-on-sagemaker
Transfer learning based on darknet yolov4 and vgg16 on AWS SageMaker
distributed-maskrcnn-demo
finetune-deploy-bert-with-amazon-sagemaker-for-hugging-face
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
kaggle-m5-amazon-forecast-example
m5-prediction-accuracy
Perform sales unit prediction by SageMaker.
ml-inference-acceleration
p13n-search-and-learn-2-rank
This repository provides examples demonstrating how to build a personalized search mechanism on AWS Elastic Search and SageMaker in an efficient and scalable way.
catwhiskers's Repositories
catwhiskers/finetune-deploy-bert-with-amazon-sagemaker-for-hugging-face
catwhiskers/m5-prediction-accuracy
Perform sales unit prediction by SageMaker.
catwhiskers/distributed-maskrcnn-demo
catwhiskers/CascadeTabNet
This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
catwhiskers/kaggle-m5-amazon-forecast-example
catwhiskers/ml-inference-acceleration
catwhiskers/amazon-personalize-movielens
catwhiskers/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
catwhiskers/multi-model-inference-accl
use TorchServe and Triton to accelerate multiple model serving
catwhiskers/NLP-algorithms-demo
Demo of SageMaker built-in NLP related algorithms
catwhiskers/optimization-examples
catwhiskers/Real-time-Vernacular-Sign-Language-Recognition-using-MediaPipe-and-Machine-Learning
The deaf-mute community have undeniable communication problems in their daily life. Recent developments in artificial intelligence tear down this communication barrier. The main purpose of this paper is to demonstrate a methodology that simplified Sign Language Recognition using MediaPipe’s open-source framework and machine learning algorithm. The predictive model is lightweight and adaptable to smart devices. Multiple sign language datasets such as American, Indian, Italian and Turkey are used for training purpose to analyze the capability of the framework. With an average accuracy of 99%, the proposed model is efficient, precise and robust. Real-time accurate detection using Support Vector Machine (SVM) algorithm without any wearable sensors makes use of this technology more comfortable and easy.
catwhiskers/automl
catwhiskers/byoc-demo
catwhiskers/D-UNet
catwhiskers/datawrangler
catwhiskers/facenet-pytorch
Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
catwhiskers/groundtruth-manifest
catwhiskers/inferentia-gpt2
catwhiskers/lambda-refarch-imagerecognition
The Image Recognition and Processing Backend reference architecture demonstrates how to use AWS Step Functions to orchestrate a serverless processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB and Amazon Rekognition.
catwhiskers/ml-model-debug
catwhiskers/mlops_incremental_learning
catwhiskers/mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
catwhiskers/PaddleOCR
Awesome multilingual OCR toolkits based on PaddlePaddle （practical ultra lightweight OCR system, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices）
catwhiskers/rt-transcribe
a demo repository for real time transcribing with http2
catwhiskers/sagemaker-notebook-lifecycle
catwhiskers/sagemaker-ood-neo-accl
catwhiskers/sagemaker-pipemode-tf2
accelerate training by employ pipemode
catwhiskers/step-function-example
catwhiskers/XLS-R-finetune