[mdlug] open-source AI software

[Gib]

I asked Grok 3 about installing AI on linux:

There are several open-source AI software options you can install on Linux,
depending on your needs (e.g., machine learning, natural language
processing, computer vision, etc.). Below is a list of some popular and
well-maintained open-source AI tools that are compatible with Linux, along
with brief descriptions:
1. TensorFlow

   - Description: A powerful machine learning framework developed by
   Google, widely used for building and training neural networks.
   - Installation on Linux:
   bash

   pip install tensorflow

   - Requirements: Python 3.x, pip. GPU support requires NVIDIA drivers and
   CUDA if you want accelerated performance.
   - Website: tensorflow.org <https://www.tensorflow.org>

2. PyTorch

   - Description: An open-source deep learning framework from Facebook,
   known for its flexibility and ease of use, especially in research.
   - Installation on Linux:
   bash

   pip install torch torchvision

   - Requirements: Python 3.x, pip. GPU support needs CUDA.
   - Website: pytorch.org

3. Scikit-learn

   - Description: A machine learning library for Python, great for
   traditional ML algorithms like regression, classification, clustering, etc.
   - Installation on Linux:
   bash

   pip install scikit-learn

   - Requirements: Python 3.x, NumPy, SciPy.
   - Website: scikit-learn.org

4. Keras

   - Description: A high-level neural network API that can run on top of
   TensorFlow, Theano, or CNTK. Simple and user-friendly.
   - Installation on Linux:
   bash

   pip install keras

   - Requirements: Python 3.x, TensorFlow (as backend).
   - Website: keras.io

5. OpenCV

   - Description: An open-source computer vision and machine learning
   library, perfect for image and video processing.
   - Installation on Linux:
   bash

   sudo apt updatesudo apt install python3-opencv

   Or via pip:
   bash

   pip install opencv-python

   - Requirements: Python 3.x (for Python bindings).
   - Website: opencv.org

6. Hugging Face Transformers

   - Description: A library for natural language processing (NLP) tasks,
   providing pre-trained models for tasks like text generation,
   classification, and translation.
   - Installation on Linux:
   bash

   pip install transformers

   - Requirements: Python 3.x, PyTorch or TensorFlow.
   - Website: huggingface.co

7. spaCy

   - Description: An industrial-strength NLP library for processing and
   analyzing text data.
   - Installation on Linux:
   bash

   pip install spacy

   Download a model:
   bash

   python -m spacy download en_core_web_sm

   - Requirements: Python 3.x.
   - Website: spacy.io

8. Apache MXNet

   - Description: A deep learning framework designed for efficiency and
   scalability.
   - Installation on Linux:
   bash

   pip install mxnet

   For GPU support:
   bash

   pip install mxnet-cu112  # Adjust CUDA version as needed

   - Requirements: Python 3.x, optional CUDA for GPU.
   - Website: mxnet.apache.org

9. Caffe

   - Description: A deep learning framework focused on speed and
   modularity, often used for image processing tasks.
   - Installation on Linux: Requires building from source:
   bash

   sudo apt install libprotobuf-dev protobuf-compiler libopencv-devgit
clone https://github.com/BVLC/caffe.gitcd caffemkdir build && cd
buildcmake ..make all -j$(nproc)

   - Requirements: Dependencies like OpenBLAS, Boost, etc.
   - Website: caffe.berkeleyvision.org

10. Ollama

   - Description: A lightweight tool to run large language models locally,
   designed for ease of use.
   - Installation on Linux:
   bash

   curl https://ollama.ai/install.sh | sh

   - Requirements: Minimal; works out of the box on most Linux distros.
   - Website: ollama.ai