Author Archives: Nikita Shiledarbaxi - Page 3
Featuretools is an open-source Python library designed for automated feature engineering. It was developed by the Feature Labs. It enables the creation of new features from several related data tables. Feature selection techniques can then be used to choose appropriate features from them and then data scientists can proceed with model creation. Image source: GitHub…
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Open3D is an open-source library designed for processing 3D data. It was introduced by Qian-Yi Zhou, Jaesik Park and Vladlen Koltun – researchers at Intel Labs (research paper). Its backend enables parallelization while the frontend exposes several useful algorithms and data structures of C++ and Python programming languages. With a small set of dependencies, it…
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Mayavi is a cross-platform library and application for 2D and 3D plotting and interactive visualization of scientific data using Python. It leverages the power of Visualization Toolkit (VTK) without requiring the users to have its prior knowledge. It acts as a clean and lucid Python interface that enables plotting complex figures with a few code…
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TensorForce is an open-source library for Reinforcement Learning, built on the top of the TensorFlow library. Python 3 is required for leveraging this deep RL framework. It is currently maintained by Alexander Kuhnle while its 0.4.2 and earlier versions were jointly introduced by Alexander Kuhnle, Michael Schaarschmidt and Kai Fricke. A brief introduction to Tensorforce…
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PyOD is a flexible and scalable toolkit designed for detecting outliers or anomalies in multivariate data; hence the name PyOD (Python Outlier Detection). It was introduced by Yue Zhao, Zain Nasrullah and Zeng Li in May 2019 (JMLR (Journal of Machine learning) paper). Before going into the details of PyOD, let us understand in brief…
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AmpliGraph is a TensorFlow-based open-source library developed by Accenture Labs for predicting links between concepts in knowledge graphs. It is a collection of neural ML models for statistical relational learning (SRL) (also called Relational Machine Learning) – a subdiscipline of AI/ML which deals with supervised learning on knowledge graphs. Before going into the details of…
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Vowpal Wabbit is a flexible open-source project designed to tackle complex interactive machine learning tasks. With Microsoft Research and (earlier) Yahoo! Research as major project contributors, Vowpal Wabbit results from intensive community research and contributions since 2007. It provides you with rapid, online and active machine learning solutions for supervised learning and reinforcement learning. Vowpal…
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Catalyst is a PyTorch framework developed with the intent of advancing research and development in the domain of deep learning. It enables code reusability, reproducibility and rapid experimentation so that users can conveniently create deep learning models and pipelines without writing another training loop. Catalyst framework is part of the PyTorch ecosystem – a collection…
The post Guide To Catalyst – A PyTorch Framework For Accelerated Deep Learning appeared first on Analytics India Magazine.
Catalyst is a PyTorch framework developed with the intent of advancing research and development in the domain of deep learning. It enables code reusability, reproducibility and rapid experimentation so that users can conveniently create deep learning models and pipelines without writing another training loop. Catalyst framework is part of the PyTorch ecosystem – a collection…
The post Guide To Catalyst – A PyTorch Framework For Accelerated Deep Learning appeared first on Analytics India Magazine.
Catalyst is a PyTorch framework developed with the intent of advancing research and development in the domain of deep learning. It enables code reusability, reproducibility and rapid experimentation so that users can conveniently create deep learning models and pipelines without writing another training loop. Catalyst framework is part of the PyTorch ecosystem – a collection…
The post Guide To Catalyst – A PyTorch Framework For Accelerated Deep Learning appeared first on Analytics India Magazine.