Machine Learning Tools and Algorithms

1. examples

   1 176 8,090 7.2 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.

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. Apache Spark

   2 121 41,083 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.

4. Pytorch

   3 390 89,694 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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