The Top 4 Open Source AI/ML Frameworks

Here are the top 4 open source frameworks for AI/ML

1. TensorFlow
Created by Google
It is the most popular AI/ML framework today
Used for machine learning, deep learning
TensorFlow has both high & low level APIs
It features fast performance
It is flexible to run quantitative & qualitative analysis
It has a steep learning curve

2. PyTorch
Created by Facebook as an alternative to TensorFlow
It is based on Torch, an open source ML library
It is good for natural language processing (NLP) jobs
PyTorch has a low-level API
Its performance is on part with TensorFlow
It is developer-friendly and easier to learn & use

3. Keras
It is built on top of TensorFlow
Keras is suited for deep neural network (DNN) jobs
It only has a high-level API
This means performance is slower
It is very easy to use & learn

4. Scikit-learn
It is a Python module for machine learning
Scikit-learn supports NumPy and SciPy
It is great for scientific computing
Its scope is limited but effective for certain jobs

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