Software Alternatives & Reviews

CUDA VS MLKit

Compare CUDA VS MLKit and see what are their differences

CUDA logo CUDA

Select Target Platform Click on the green buttons that describe your target platform.

MLKit logo MLKit

MLKit is a simple machine learning framework written in Swift.
  • CUDA Landing page
    Landing page //
    2023-05-23
  • MLKit Landing page
    Landing page //
    2023-09-15

CUDA

Categories
  • Data Science And Machine Learning
  • Business & Commerce
  • AI
  • Online Services
Website developer.nvidia.com
Details $-

MLKit

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Python Tools
  • Software Libraries
Website github.com
Details $

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

MLKit videos

Android Face Detection using Camera - Google MLKit Face Detection Android Studio - Firebase ML Kit

Category Popularity

0-100% (relative to CUDA and MLKit)
Data Science And Machine Learning
Business & Commerce
100 100%
0% 0
Data Science Tools
0 0%
100% 100
Machine Learning Tools
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.

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 / 8 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: 9 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: 9 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: 10 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: 10 months ago
View more

MLKit mentions (0)

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

What are some alternatives?

When comparing CUDA and MLKit, 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.

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

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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