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About

NVIDIA PhysicsNeMo is an open source Python deep-learning framework for building, training, fine-tuning, and inferring physics-AI models that combine physics knowledge with data to accelerate simulations, create high-fidelity surrogate models, and enable near-real-time predictions across domains such as computational fluid dynamics, structural mechanics, electromagnetics, weather and climate, and digital twin applications. It provides scalable, GPU-accelerated tools and Python APIs built on PyTorch and released under the Apache 2.0 license, offering curated model architectures including physics-informed neural networks, neural operators, graph neural networks, and generative AI–based approaches so developers can harness physics-driven causality alongside observed data for engineering-grade modeling. PhysicsNeMo includes end-to-end training pipelines from geometry ingestion to differential equations, reference application recipes to jump-start workflows.

About

NeuralOps is an AI-powered work rhythm intelligence platform designed to optimize remote work for distributed teams. Built on the principles of trust and respect, it provides managers with deep insights into team productivity without resorting to micromanagement. By mapping a team's natural workflow from focus time to collaboration and breaks, NeuralOps helps protect both the team's output and their overall well-being. NeuralOps redefines modern productivity by proving that comprehensive visibility doesn't have to compromise respect. They offer an "ironclad promise" of human-centered, consensual monitoring, which most notably includes a strict no keystroke logging policy. Ultimately, NeuralOps exists to help distributed teams eliminate busywork, coordinate better, and focus on work that matters in an environment of mutual trust.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Researchers, engineers, and developers who need an open source Python AI framework to build, train, fine-tune, and deploy physics-informed machine learning models for simulation, digital twins, and real-time prediction

Audience

Remote first and hybrid organizations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

Free
Free Version
Free Trial

Pricing

$3/month/user
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 4.9 / 5
features 4.6 / 5
design 4.6 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • Simplicity and effectiveness. The software promotes deep work without being intrusive. It also brings credibility to our work through its simple tracking.
  • --> Non-intrusive --> Easy to use --> Tracking works like magic
  • NeuralOps is a seamless, lightweight time-tracking tool that has been instrumental in managing our remote team. It was incredibly well-received by our employees, largely due to its exceptional user experience and the fact that it respects their privacy without being intrusive. The smart dashboard equips me and other managers with clear, actionable metrics to effectively monitor and improve overall productivity. Furthermore, its cost-effectiveness validates that switching to this tool was a fantastic business decision. Unlike our previous software, which became prohibitively expensive and heavily burdened our finances as our team grew, NeuralOps scales affordably with every new member.
  • seamless time tracking tool for the organization. With genuine data showing up on the dashboard.
  • Simple and easy to track the active and inactive time on the system. The dashboard view gives a clarity on focused work versus transactional work.

Cons

  • Nothing specific, UI can be upgraded but it is not a deal breaker.
  • Still exploring; nothing as of now. However, more vivid data on the dashboard would have been nice.
  • We haven't encountered any major issues that negatively impacted management or the team. However, based on feedback from a few employees, having the option to set a slightly longer grace period before flagging inactivity would be a beneficial feature.
  • the grace period that is set up between every inactive session should increase
  • An inactive period on the System for more than 2 mins goes to inactive time, although I am sitting in front of the system, reading certain documents and thinking. Also, some parts of official transactions done on the mobile are not counted towards office work as the neural ops is not recording time on the mobile.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/physicsnemo

Company Information

NeuralOps
United States
www.neuralops.co

Alternatives

Alternatives

Alchemite

Alchemite

Intellegens
NeuralWing

NeuralWing

Emmi AI
NeuralMould

NeuralMould

Emmi AI

Categories

Categories

Integrations

PyTorch
Python

Integrations

PyTorch
Python
Claim NVIDIA PhysicsNeMo and update features and information
Claim NVIDIA PhysicsNeMo and update features and information
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Claim NeuralOps and update features and information