Machine Learning Tools and Algorithms

• examples

  143 7,763 5.3 Jupyter Notebook

  TensorFlow examples (by tensorflow)

  

TensorFlow:-TensorFlow is the most widely used neural network. In 2015, Google released TensorFlow, an open-source framework that was created by the company. Thousands of businesses, startups, and industry organizations are increasingly relying on TensorFlow to streamline operations and build cutting-edge solutions. TensorFlow provides APIs that are both high-level and low-level in nature.

• Apache Spark

  101 38,414 10.0 Scala

  Apache Spark - A unified analytics engine for large-scale data processing

  

Apache Spark :- A massive data processing engine with built-in modules for streaming, SQL, Machine Learning (ML), and graph processing, Apache Spark is recognized for being quick, simple to use, and general. It is also known for being fast, simple to use, and generic.

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Pytorch

  341 78,205 10.0 Python

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  

PyTorch :- It is one of the most widely used machine learning methods, and it is employed in some of the most significant fields of machine learning, such as the construction of deep neural networks and the computation of tensors.

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