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PySyft VS CUDA

Compare PySyft VS CUDA and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PySyft logo PySyft

A Library for Private, Secure Deep Learning

CUDA logo CUDA

Select Target Platform Click on the green buttons that describe your target platform.
  • PySyft Landing page
    Landing page //
    2023-08-30
  • CUDA Landing page
    Landing page //
    2023-05-23

PySyft videos

+ Add

Introduction to PySyft source code

CUDA videos

+ Add

1971 Plymouth Cuda 440: Regular Car Reviews

More videos:

  • Review - Jackson Kayak Cuda Review
  • Review - Great First Effort! The New $249 Signum Cuda

Category Popularity

0-100% (relative to PySyft and CUDA)

PySyft

CUDA

Python Tools
100 100%
Python Tools
0% 0
Data Science And Machine Learning
14 14%
Data Science And Machine Learning
86% 86
Data Science Tools
27 27%
Data Science Tools
73% 73
AI
0 0%
AI
100% 100

User comments

Share your experience with using PySyft and CUDA. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, CUDA seems to be more popular. It has been mentiond 37 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.

PySyft mentions (0)

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

CUDA mentions (37)

  • Deploying llama.cpp on AWS (with Troubleshooting)
    Install CUDA Toolkit (only the Base Installer). Download it and follow instructions from Https://developer.nvidia.com/cuda-downloads. - Source: dev.to / about 21 hours ago
  • A comprehensive guide to running Llama 2 locally
    For my fellow Windows shills, here's how you actually build it on windows: Before steps: 1. (For Nvidia GPU users) Install cuda toolkit https://developer.nvidia.com/cuda-downloads 2. Download the model somewhere: https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/llama-2-13b-chat.ggmlv3.q4_0.bin In Windows Terminal with Powershell: 
        git clone https://github.com/ggerganov/llama.cpp.
    - Source: Hacker News / 10 months ago
  • Nvidia with linux....... not a good combination
    I use Ubuntu and configuring nvidia drivers is very easy installing from here https://developer.nvidia.com/cuda-downloads. Source: 11 months ago
  • Can't get CLBLAST working on oobabooga
    You have posted almost no information about your Hardware and what exactly you have done. Do you actually have NVIDIA? Have you actually installed CUDA? Also when exactly do you get the error, while installed the python package or later? Source: 11 months ago
  • NEW NVIDIA 535.98 DRIVER!!- INCREASE SPEED, POWER, IMAGE SIZE AN WHO KNOW WHAT ELSE MORE!
    EDIT: LINK TO CUDA-toolkit: https://developer.nvidia.com/cuda-downloads. Source: 12 months ago
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What are some alternatives?

When comparing PySyft and CUDA, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

OpenCV - OpenCV is the world's biggest computer vision library

MLKit - MLKit is a simple machine learning framework written in Swift.

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