135 Open source projects that are alternatives of or similar to amazon-sagemaker-mlops-workshop

CLI for building Docker images in SageMaker Studio using AWS CodeBuild.

transformer in tensorflow 2.0

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

A containerized REST API around OpenAI's CLIP model.

2019北京大学软件与微电子学院曹健老师的《人工智能实践》作业，有完整的注释,欢迎提出issue以及request

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

UnitBox: An Advanced Object Detection Network

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Know How Guide and Hands on Guide for AWS

FedGroup, A Clustered Federated Learning framework based on Tensorflow

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

Русскоязычный чат-бот для Discord на архитектуре Transformer

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

TensorFlow2+ graph image augmentation library optimized for tf.data.Dataset.

Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

Sample code for AWS data service and ML courses on LinkedIn Learning

A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources for Academic Researchers new to AWS

A collection of localized (Korean) AWS AI/ML workshop materials for hands-on labs.

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Address book for computer vision models.

This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

基于Tensorflow2开发的优秀扩展包及项目

Tensorflow 2.0 implementation of Deep Autoregressive Models

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

WIP Tensorflow implementation of https://github.com/mozilla/TTS

Improved TabNet for TensorFlow

🌈 Spectral Normalization implemented as Tensorflow 2

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

This code is used to build & run a Docker container for performing predictions against a Spark ML Pipeline.

🐳 GAN implemented as Tensorflow 2.X

Tensorflow2 Object Detection APIのハンズオン用資料です(Hands-on documentation for the Tensorflow2 Object Detection API)

This project presents a simple framework to retrieve images similar to a query image.

Deep reinforcement learning with tensorflow2

TF2 implementation of PointNet for segmenting point clouds

Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...

Working golang + tensorflow

Code for "Neural Tangent Generalization Attacks" (ICML 2021)

熊猫识别不定长验证码,基于tensorflow2.2(tensorflow2.3也可以运行)轻松就能练出不错的模型

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Generative Adversarial Networks in TensorFlow 2.0

Tensorflow implementation of the Restricted Boltzmann Machine

Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!

Docker images that replicate the Amazon SageMaker Notebook instance.

Public reusable components for Polyaxon

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

A tensorflow_2.0 implementation of SSD (Single Shot MultiBox Detector) .

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Graph convolution with tf.keras

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

GitHub repo for my Tensorflow World hackathon submission

Farm Animal Tracking (FAT)