ai-transcribe
AI Starter Kit for the implementation of an AI transcribe system using IntelĀ® Extension for PyTorch* (by oneapi-src)
customer-segmentation
AI Starter Kit for Customer Segmentation for Online Retail using IntelĀ® Extension for Scikit-learn* (by oneapi-src)
ai-transcribe | customer-segmentation | |
---|---|---|
1 | 1 | |
6 | 2 | |
- | - | |
4.0 | 10.0 | |
9 days ago | 3 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ai-transcribe
Posts with mentions or reviews of ai-transcribe.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-01.
customer-segmentation
Posts with mentions or reviews of customer-segmentation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-01.
-
Using oneAPI AI Toolkits from Intel and Accenture Part 2
$ git clone https://github.com/oneapi-src/customer-segmentation
What are some alternatives?
When comparing ai-transcribe and customer-segmentation you can also consider the following projects:
fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.