Author Archives: Victor Dey - Page 30
Beautiful Soup is an open-source Python library for getting data out of HTML, XML, and other markup languages. If you have some web pages that display the data relevant to your research, such as date, address information or important lines of text, but do not have any way of downloading the data directly, using Beautiful Soup can help you pull particular content from the webpage.
The post Complete Guide To Text Summarizer Using Beautiful Soup appeared first on Analytics India Magazine.
The gym is an open-source toolkit for developing and comparing reinforcement learning algorithms. What makes it easier to work with is that it makes it easier to structure your environment using only a few lines of code and compatible with any numerical computation library, such as TensorFlow or Theano.
The post Exploring Panda Gym: A Multi-Goal Reinforcement Learning Environment appeared first on Analytics India Magazine.
The gym is an open-source toolkit for developing and comparing reinforcement learning algorithms. What makes it easier to work with is that it makes it easier to structure your environment using only a few lines of code and compatible with any numerical computation library, such as TensorFlow or Theano.
The post Exploring Panda Gym: A Multi-Goal Reinforcement Learning Environment appeared first on Analytics India Magazine.
In this article, we will compare the features of two of the most recent versions of the Python programming language, Python 3.9 and Python 3.10, with their respective examples and try to explore what is different and new.
The post Python 3.9 vs Python 3.10: A Feature Comparison appeared first on Analytics India Magazine.
PaDELPy is an open-source library that provides a Python wrapper for the PaDEL-Descriptor and a molecular descriptor calculation software. The PaDEL-Descriptor can be used to work on scientific data to help calculate the molecular fingerprint of specific molecules used to build scientific machine learning models.
The post Hands-On Guide to PaDELPy for ML Model Building appeared first on Analytics India Magazine.
AugLy, a new open source Python library that helps AI researchers to make use and create data augmentations to improve the robustness of their created machine learning models. Augmentations can include a wide variety of modifications to a dataset, ranging from cropping a photo to changing the pitch of a voice recording. In addition, AugLy provides sophisticated data augmentation tools to create samples to train and test different systems. AugLy currently supports four modalities, namely audio, image text and video and over 100 other augmentations. Each modality’s augmentations are contained within its sub-library. These sub-libraries can help perform both function-based, and class-based transforms, composition operators and are also available with an option to provide metadata about the transformation applied.
The post Complete Guide To AugLy: A Modern Data Augmentation Library appeared first on Analytics India Magazine.
FLAML is an open-source automated python machine learning library that leverages the structure of the search space in search tree algorithmic problems and is designed to perform efficiently and robustly without relying on meta-learning, unlike traditional Machine Learning algorithms. To choose a search order optimized for both cost and error and it iteratively decides the learner, hyperparameter, sample size and resampling strategy while leveraging their compound impact on both cost and error of the model as the search proceeds.
The post Microsoft FLAML VS Traditional ML Algorithms: A Practical Comparison appeared first on Analytics India Magazine.
This article tried to explore and understand Image Models and how they work. We also learned about a descriptive PyTorch Image Model known as VIT, where we implemented AugReg to create an Image Label Predictor.
The post Complete Guide To VIT-AugReg: A PyTorch Image Model Descriptive Predictions appeared first on Analytics India Magazine.
Model-based Reinforcement Learning (MBRL) for continuous control is an area of research investigating machine learning agents explicitly modelling themselves by interacting with the world. MBRL can learn rapidly from a limited number of trials and enables programmers to integrate specialized domain knowledge into the learning agent about how the world environment works. The library MBRL-Lib is an Open-source Python Library created to provide shared foundations, tools, abstractions, and evaluations for continuous-action MBRL.
The post Complete Guide To MBRL: Python Tool For Model-Based Reinforcement Learning appeared first on Analytics India Magazine.
Vaex is a Python library for Out-of-Core DataFrames and helps to load, visualize and explore big tabular datasets. It can aid in calculating statistical operations such as mean, sum, count, standard deviation etc., on an N-dimensional grid, up to a billion rows per second.
The post How To Process Humongous Datasets Using Vaex? appeared first on Analytics India Magazine.