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NVIDIA DIGITS VS DeepPy

Compare NVIDIA DIGITS VS DeepPy and see what are their differences

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NVIDIA DIGITS logo NVIDIA DIGITS

DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models.

DeepPy logo DeepPy

DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.
  • NVIDIA DIGITS Landing page
    Landing page //
    2023-10-16
  • DeepPy Landing page
    Landing page //
    2019-06-12

NVIDIA DIGITS features and specs

No features have been listed yet.

DeepPy features and specs

  • Ease of Use
    DeepPy is designed to be simple and intuitive, making it accessible for users who want to quickly implement deep learning models without extensive setup.
  • Python Integration
    Built in Python, DeepPy provides seamless integration with other Python libraries, allowing for flexible and dynamic deep learning applications.
  • Lightweight
    The library is lightweight, focusing on essential deep learning features, which makes it suitable for rapid prototyping and educational purposes.

Possible disadvantages of DeepPy

  • Limited Features
    Compared to larger frameworks like TensorFlow or PyTorch, DeepPy offers fewer features and functionalities, which may limit its use in complex projects.
  • Community Support
    DeepPy has a smaller user community, which can result in less available support, fewer tutorials, and a slower pace of updates and improvements.
  • Performance
    As a smaller framework, DeepPy may not be as optimized for performance as more established libraries, potentially leading to slower execution times for large-scale models.

NVIDIA DIGITS videos

+ Add

Nvidia DIGITS for Deep Learning Review and Demo

More videos:

  • Review - Building Convolutional Neural Networks with NVIDIA DIGITS

DeepPy videos

No DeepPy videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to NVIDIA DIGITS and DeepPy)

NVIDIA DIGITS

DeepPy

AI
100 100%
AI
0% 0
OCR
0 0%
OCR
100% 100
Art
100 100%
Art
0% 0
Image Analysis
21 21%
Image Analysis
79% 79

User comments

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Social recommendations and mentions

Based on our record, NVIDIA DIGITS seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NVIDIA DIGITS mentions (2)

  • Tools for CNN training like NVIDIA DIGITS
    I'm not quite sure if this is the place to ask it, but I'll give it a shot. Several years ago, during my PhD, I used to train small CNNs using NVIDIA DIGITS tool (https://developer.nvidia.com/digits), that is basically a frontend to tasks such as build datasets, configure training parameters, follow real time training data (epochs), test classification and export training for usage. This is a oversimplified... Source: over 2 years ago
  • Does anything benefit from more than 1 GPU?
    Also frameworks which make moving to multiGPU easy, like DIGITS: https://developer.nvidia.com/digits. Source: almost 4 years ago

DeepPy mentions (0)

We have not tracked any mentions of DeepPy yet. Tracking of DeepPy recommendations started around Mar 2021.

What are some alternatives?

When comparing NVIDIA DIGITS and DeepPy, you can also consider the following products

Floyd - Heroku for deep learning

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Amazon DSSTNE - Deep Scalable Sparse Tensor Network Engine (DSSTNE) is a library for building Deep Learning (DL) and machine learning (ML) models.

Clarifai - The World's AI

Playground AI - Stable diffusion level generation with 1000 free pics a day

TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

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