Archives for Python Library - Page 2
GPyTorch is a PyTorch-based library designed for implementing Gaussian processes. It was introduced by Jacob R. Gardner, Geoff Pleiss, David Bindel, Kilian Q. Weinberger and Andrew Gordon Wilson – researchers at Cornel University (research paper). Before going into the details of GPyTorch, let us first understand what a Gaussian process means, in short. Gaussian Process…
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GPyTorch is a PyTorch-based library designed for implementing Gaussian processes. It was introduced by Jacob R. Gardner, Geoff Pleiss, David Bindel, Kilian Q. Weinberger and Andrew Gordon Wilson – researchers at Cornel University (research paper). Before going into the details of GPyTorch, let us first understand what a Gaussian process means, in short. Gaussian Process…
The post Guide To GPyTorch: A Python Library For Gaussian Process Models appeared first on Analytics India Magazine.
TensorLy is an open-source Python library that eases the task of performing tensor operations. It provides a high-level API for dealing with deep tensorized neural networks and tensor methods. It was created in 2015 by a senior research scientist at NVIDIA Research Group named Jean Kossaifi. It was presented at the NeurIPS workshop and was…
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Introduction TimeSynth is a powerful open-source Python library for synthetic time series generation, so is its name (Time series Synthesis). It was introduced by J. R. Maat, A. Malali and P. Protopapas as “TimeSynth: A Multipurpose Library for Synthetic Time Series Generation in Python” (available here) in 2017. Before going into the details of the…
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DeepMind has been leveraging JAX, a Python library used extensively in machine learning, for numerical computing applications in a number of experiments. Through this article, we will understand how the company is building its own JAX Ecosystem, complete with different libraries to push their research. What Is JAX Ecosystem At DeepMind JAX’s API for numerical…
The post Why DeepMind Is Bullish On This One Python Library appeared first on Analytics India Magazine.
Imbalanced datasets. In this article, I’ll be discussing the way to achieve balanced datasets using various techniques, as well as compare them.
The post Handling Imbalanced Datasets: A Guide With Hands-on Implementation appeared first on Analytics India Magazine.
Recently, jiant 2.0 was released, which is an updated version of the natural language understanding toolkit jiant 1.x. jiant is a research library for natural language understanding that conducts multitask training and transfer learning experiments on English NLU tasks. According to its developers, this toolkit enables modular and configuration-driven experimentation with state-of-the-art models as well…
The post Jiant 2.0 Released: A NLU Toolkit Built For The Evolving Needs Of NLP Researchers appeared first on Analytics India Magazine.
Microsoft Releases Latest Version Of DeepSpeed, Its Python Library For Deep Learning Optimisation
Recently, Microsoft announced the new advancements in the popular deep learning optimisation library known as DeepSpeed. This library is an important part of Microsoft’s new AI at Scale initiative to enable next-generation AI capabilities at scale. DeepSpeed, the open-source deep learning training optimisation library was unveiled in February this year along with ZeRO (Zero Redundancy…
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Datapane is an open-source python library/framework which makes it easy to turn scripts and notebooks into interactive reports.
The post Hands-On Guide to Datapane Python Tool for Reporting and Visualization appeared first on Analytics India Magazine.
Recently, Facebook announced the availability of the latest version of PyTorch, PyTorch 1.6. The social media giant also made a massive announcement that Microsoft has expanded its participation in the PyTorch community and is taking ownership of the development and maintenance of the PyTorch to build for Windows. PyTorch is one of the most popular…
The post PyTorch 1.6 Released, Microsoft To Take Care Of The Windows Version of PyTorch appeared first on Analytics India Magazine.