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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

MinIO offers a powerful object storage solution that is entirely software-defined, allowing users to establish cloud-native data infrastructures tailored for machine learning, analytics, and various application data demands. What sets MinIO apart is its design centered around performance and compatibility with the S3 API, all while being completely open-source. This platform is particularly well-suited for expansive private cloud settings that prioritize robust security measures, ensuring critical availability for a wide array of workloads. Recognized as the fastest object storage server globally, MinIO achieves impressive READ/WRITE speeds of 183 GB/s and 171 GB/s on standard hardware, enabling it to serve as the primary storage layer for numerous tasks, including those involving Spark, Presto, TensorFlow, and H2O.ai, in addition to acting as an alternative to Hadoop HDFS. By incorporating insights gained from web-scale operations, MinIO simplifies the scaling process for object storage, starting with an individual cluster that can easily be federated with additional MinIO clusters as needed. This flexibility in scaling allows organizations to adapt their storage solutions efficiently as their data needs evolve.

Description

TensorFlow Agents (TF-Agents) is an extensive library tailored for reinforcement learning within the TensorFlow framework. It streamlines the creation, execution, and evaluation of new RL algorithms by offering modular components that are both reliable and amenable to customization. Through TF-Agents, developers can quickly iterate on code while ensuring effective test integration and performance benchmarking. The library features a diverse range of agents, including DQN, PPO, REINFORCE, SAC, and TD3, each equipped with their own networks and policies. Additionally, it provides resources for crafting custom environments, policies, and networks, which aids in the development of intricate RL workflows. TF-Agents is designed to work seamlessly with Python and TensorFlow environments, presenting flexibility for various development and deployment scenarios. Furthermore, it is fully compatible with TensorFlow 2.x and offers extensive tutorials and guides to assist users in initiating agent training on established environments such as CartPole. Overall, TF-Agents serves as a robust framework for researchers and developers looking to explore the field of reinforcement learning.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Backblaze
Catalogic DPX
Cloud Protect365
CloudCasa
Filestash
Kamatera
KubeSphere
Kubernetes
NetThunder
OpenEBS
Oxla
Privacera
Python
RudderStack
TagSpaces
TrueNAS
VMware Tanzu Kubernetes Grid
WarpStream
lakeFS
odrive

Integrations

Backblaze
Catalogic DPX
Cloud Protect365
CloudCasa
Filestash
Kamatera
KubeSphere
Kubernetes
NetThunder
OpenEBS
Oxla
Privacera
Python
RudderStack
TagSpaces
TrueNAS
VMware Tanzu Kubernetes Grid
WarpStream
lakeFS
odrive

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

MinIO

Country

United States

Website

min.io

Vendor Details

Company Name

Tensorflow

Founded

2015

Country

United States

Website

www.tensorflow.org/agents

Product Features

Cloud Storage

Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control

Product Features

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