41 Open source projects that are alternatives of or similar to clip-container

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

🎨 provide some common image process apis with canvas

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

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

Know How Guide and Hands on Guide for AWS

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

A PaddlePaddle version implementation of CLIP of OpenAI.

Clipboard support for Vim without +clipboard

Easily create videoclips with mpv.

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

CLIP (Contrastive Language–Image Pre-training) for Italian

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

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.

Local image generation using VQGAN-CLIP or CLIP guided diffusion

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

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

Public reusable components for Polyaxon

An End to End Customer Churn Prediction solution using AWS services.

This Repo Contains Deployment of Machine Learning Models on various cloud services like Azure, Heroku, AWS,GCP etc

Build and deploy a serverless data pipeline on AWS with no effort.

Projects developed by Domino's R&D team

Managed Machine Learning Systems and Internet of Things Live Lesson

Unity shader and scripts for rendering solid clipped geometry

Download Twitch VODs and Clips

Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，BEiT，MAE等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

一个简单的移动端裁剪图片上传插件

开放源码的无App推送服务，iOS14+扫码即用。亦支持快应用/iOS和Mac客户端、Android客户端、自制设备

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

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

Get notified for Instances mistakenly left running across all AWS regions for specific AWS Account

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

This repository provides AI/ML service(MachineLearning model serving) modernization solution using Amazon SageMaker, AWS CDK, and AWS Serverless services.

Hands-on demonstrations for data scientists exploring SageMaker

Large scale and asynchronous Hyperparameter Optimization at your fingertip.

MLOps workshop with Amazon SageMaker

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

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