Microsoft Azure is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.

It also provides capabilities that are usually not included within other cloud platforms, including software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS).

source: wikipedia.org

Simple yet flexible JavaScript charting library for the modern web.

source: chart.js.org

Keras is an API designed for human beings, not machines. Keras follows best practices for  reducing cognitive load : it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.

source: keras.io

Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco-based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion. It is one of the technologies of the AI boom.

source: wikipedia.org

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

source: wikipedia.org

OpenAI  is an American  artificial intelligence  (AI) research organization founded in December 2015 and headquartered in San Francisco, California. Its stated mission is to develop "safe and beneficial"  artificial general intelligence  (AGI), which it defines as "highly autonomous systems that outperform humans at most economically valuable work".

source: wikipedia.org

Pandas  is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the  Python  programming language.

source: pandas.pydata.org

Plotly's Python graphing library makes interactive, publication-quality graphs. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts.

source: plotly.com

PyTorch is a machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, originally developed by Meta AI and now part of the Linux Foundation umbrella.

It is one of the most popular deep learning frameworks, alongside others such as TensorFlow and PaddlePaddle, offering free and open-source software released under the modified BSD license.

source: wikipedia.org

scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language.

It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Scikit-learn is a NumFOCUS fiscally sponsored project.

source: wikipedia.org

TensorFlow makes it easy to create ML models that can run in any environment. 

source: tensorflow.org

Transformers provides APIs and tools to easily download and train state-of-the-art pretrained models. Using pretrained models can reduce your compute costs, carbon footprint, and save you the time and resources required to train a model from scratch.

source: huggingface.co

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way.

source: xgboost.readthedocs.io