Adexin — AI software development company

Machine learning is the basis of AI solutions that use algorithms to promote business growth. It works with large datasets, collecting, analyzing, and categorizing them to find trends and patterns and use them to make informed decisions.

Natural language processing, or NLP, can be used in day-to-day tasks like video and audio transcription, and large-scale solutions like voice assistance and opinion mining. It utilizes AI software to analyze large volumes of text — both written and recorded.

AI can be used in autonomous vehicles, robotics, and industrial automation, where machines perform tasks without human intervention. It enables self-driving cars, automated manufacturing processes, and robotic process automation, where most work is done by self-regulated machines.

Predictive modeling involves developing AI models to make predictions or forecasts based on historical data. The results collected in the process of machine learning allow the creation of predictive models of the future in finance, logistics, supply chain management, etc.

Python is one of the most versatile and easy-to-use programming languages. It provides a wide library and a set of tools making it a perfect technology to program applications across industries. It is regarded by professionals for its power and flexibility.

PyTorch is an open-source framework developed by Facebook's AI Research lab. It is used in the deep learning field and provides a flexible approach to building neural networks. This framework allows the integration of trained models into different environments.

ONNX, or Open Neural Network Exchange, is an open format for sharing deep learning models between frameworks. It is known for its deployment features that allow the integration of different models seamlessly into various frameworks. It has a broad ecosystem and a large developer community.

OpenMMLab is focused on developing open-source tools and libraries for working with multimedia sources. It can be easily integrated with PyTorch to develop advanced vision models. Overall, it’s a valuable resource for researchers and practitioners in the field.

PaddlePaddle is an open-source deep-learning platform developed by Baidu. It mostly works with training and deploying machine learning models. It is flexible and scalable, allowing for experimentation and rapid prototyping in domains like NLP and deep learning.

MediaPipe is a framework developed by Google used for developing pipelines for multimedia processing. It is compatible with the majority of operating systems like Linux, Windows, and macOS and supports iOs and Android. MediaPipe can handle different content types and formats.

Keras is a Python-based framework with advanced API that allows developers to easily build and train deep learning models. It’s user-friendly, accessible, and compatible with different backends, which makes it a perfect tool for both beginners and experienced specialists.

NumPy, or Numerical Python, is an open-source library for numerical computing in Python. It facilitates working with large, multi-dimensional arrays and matrices. It is a powerful tool that serves as the basis for many scientific and large Python applications.

Torch is an open-code computing network. It is written in the Lua scripting language and is used for creating deep neural networks. The framework can be utilized for machine learning, signal processing, image/video/audio processing, and much more.

TensorFlow is another framework built by Google. It deals with the field of deep machine learning and facilitates the building and training of learning models. One of its key benefits is having an extensive ecosystem of tools and resources to work with models at scale.

OpenVINO stands for Open Visual Inference and Neural Network Optimization. It’s a toolkit created by Intel to facilitate the deployment of deep-learning models on Intel hardware platforms like GPUs, CPUs, FPGAs, and Vision Processing Units.

OpenCV or Open Source Computer Vision is a library that works with image processing algorithms. It allows developers to easily work with photo and video content and perform visual data and recognition tasks. It is used in robotics, surveillance, healthcare, AR, etc.

Hugging Face Transformers deals with natural-language processing models and tools. It can conduct a wide range of tasks, which include machine translation, text classification, sentiment analysis, named entity recognition, and question answering. It is the most popular library when it comes to NLP tasks.

The name “YOLO” stands for You Only Look Once, and it is used in computer vision tasks. It has gained popularity due to its advanced object-recognition capabilities and is used in surveillance systems, autonomous driving, and image analysis.

Amazon Web Services Machine Learning is a comprehensive set of services and tools which was introduced by Amazon Web Services. It enables developers to work with learning models in the cloud. It facilitates their deployment into various systems in the cloud environment.