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When discussing the licensing types available for open-source software, it's important to recognize the key categories that define how software can be used, modified, and redistributed: public domain, copyleft, permissive, lesser general public license.
Table 3681a. Open datasets for ML practice.
| Open datasets |
Description |
| UCI Machine Learning Repository |
UCI hosts a collection of datasets for machine learning, covering a wide range of domains. It's a great resource for various types of problems. |
| Kaggle Datasets |
Kaggle is a platform for data science competitions, and it also provides a variety of datasets for practice. You can find datasets on topics like image recognition, natural language processing, and more. |
| Google Dataset Search |
Google Dataset Search is a tool that enables the discovery of datasets stored across the web. It can help you find datasets on a wide range of topics. |
| Awesome Public Datasets GitHub Repo |
This GitHub repository curates a list of high-quality datasets across various domains. It's a great starting point for finding datasets for different machine learning projects. |
| TensorFlow Datasets |
TensorFlow Datasets is a collection of datasets ready to use with TensorFlow. It includes datasets for natural language processing, computer vision, and more. |
| ImageNet |
ImageNet is a large dataset for visual object recognition. It's widely used for tasks like image classification and object detection. |
| IMDb Datasets |
IMDb provides datasets that include information about movies, actors, and related metadata. It's suitable for projects related to recommendation systems and movie analytics. |
| COCO - Common Objects in Context |
COCO is a large-scale object detection, segmentation, and captioning dataset. It's commonly used for computer vision tasks. |
Table 3681b. Open-source tools and libraries for ML practice.
| Open-source tools and libraries |
Description |
| Scikit-learn |
Scikit-learn is a simple and efficient tool for data analysis and machine learning. It provides a wide range of machine learning algorithms for tasks such as classification, regression, clustering, and more. |
| TensorFlow Playground |
Introduction. It is an interactive web-based platform provided by TensorFlow, an open-source machine learning framework developed by Google. The TensorFlow Playground is designed to help users understand and experiment with neural networks in a visual and interactive way. It is used by college students and other ML learners. |
| TensorFlow |
Developed by Google, TensorFlow is an open-source machine learning library that is widely used for deep learning tasks. It supports neural networks and other machine learning models. |
| PyTorch |
PyTorch is an open-source deep learning library developed by Facebook. It's known for its dynamic computational graph, making it particularly popular among researchers and academics. |
| Keras |
Keras is a high-level neural networks API written in Python and capable of running on top of TensorFlow, CNTK, or Theano. It provides a user-friendly interface for building and experimenting with deep learning models. |
| MXNet |
Apache MXNet is an open-source deep learning framework that supports both symbolic and imperative programming. It's designed for efficiency and flexibility. |
| H2O.ai |
H2O.ai offers an open-source machine learning platform called H2O. It includes implementations of popular machine learning algorithms and supports distributed computing. |
| Fastai |
Fastai is a deep learning library built on top of PyTorch. It provides high-level abstractions for creating and training neural networks, making it accessible for beginners. |
| Jupyter Notebooks |
Jupyter Notebooks are an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in the data science and machine learning community for interactive coding and analysis. |
| MLflow |
MLflow is an open-source platform for managing the end-to-end machine learning lifecycle. It includes tools for tracking experiments, packaging code into reproducible runs, and sharing and deploying models. |
| OpenCV |
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It provides various tools and algorithms for image and video analysis. |
Table 3681b. Open-source tools for Python practice.
| Open-source tools |
Description |
| Python Tutor |
Introduction. Python Tutor is an online tool and platform designed to help individuals learn and understand the Python programming language. It provides an interactive environment where users can write and execute Python code in their web browser while visualizing the execution of the code step by step. |
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