TheJava Machine Learning Library(Java-ML) provides a collection of machine learning algorithms implemented in Java. It provides a standard interface for each algorithm, no UIs and references to the relevant scientific literature for further reading. It includes methods for data manipulation, clustering,...
There are many deep-learning libraries available to developers. The nitty-gritty of deep learning involves lots of parallel multiplication and sums over very large arrays of floating-point numbers. GPU support noticeably speeds up even trivial ML projects, and low-level performance is ...
Learn how Azure Machine Learning uses MLflow to log metrics and artifacts from machine learning models, and to deploy your machine learning models to an endpoint.
Explore top machine learning frameworks for AI and deep learning, including TensorFlow, PyTorch, Keras, and more.
VIGRA - VIGRA is a genertic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings. Openpose - A real-time multi-person keypoint detection library for body, face, hands, and foot estimationGeneral...
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Awesome Machine Learning A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated...
Dino (BCS) has 6+ years in software development, specializing in back-end and security work using Java, Elasticsearch, .NET, and Python. Expertise Machine LearningPython Previously At Share this article TensorFlow is an open source software library created by Google that is used to implement mac...
(AI), particularly,machine learning (ML)is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area. Besides, thedeep learning, which is part of a broader family of machine learning methods, can ...
Fig. 4: Performance of machine learning directed aptamer length truncation. a,bBox-plots and swarmplots showing model scores for candidate aptamers calculated across multiple sequence backgrounds. Each swarm/box plot corresponds to one core sequence: each point represents the core sequence in a differ...