Software Alternatives & Reviews

TensorFlow.js VS CUDA

Compare TensorFlow.js VS CUDA and see what are their differences

TensorFlow.js logo TensorFlow.js

TensorFlow.js is a library for machine learning in JavaScript

CUDA logo CUDA

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  • TensorFlow.js Landing page
    Landing page //
    2023-10-23
  • CUDA Landing page
    Landing page //
    2023-05-23

TensorFlow.js videos

TensorFlow.js: ML for the web and beyond (TF Dev Summit '20)

More videos:

  • Review - TensorFlow.js Community Show & Tell #1 - #MachineLearning in #JavaScript!
  • Review - Unlocking the power of ML for your JavaScript applications with TensorFlow.js (TF World '19)

CUDA videos

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 TensorFlow.js and CUDA)
Data Science Tools
100 100%
0% 0
Data Science And Machine Learning
Business & Commerce
0 0%
100% 100
Web Frameworks
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, CUDA seems to be more popular. It has been mentiond 36 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.

TensorFlow.js mentions (0)

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

CUDA mentions (36)

  • 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 / 9 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: 10 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: 10 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: 11 months ago
  • WizardLM-30B-Uncensored
    It's worth noting that you'll need a recent release of llama.cpp to run GGML models with GPU acceleration here is the latest build for CUDA 12.1), and you'll need to install a recent CUDA version if you haven't already (here is the CUDA 12.1 toolkit installer -- mind, it's over 3 GB). Source: 11 months ago
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What are some alternatives?

When comparing TensorFlow.js 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.

Kubeflow - Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated

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