lovely-tensors VS datacamp

Compare lovely-tensors vs datacamp and see what are their differences.

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lovely-tensors datacamp
3 6
1,048 304
- -
2.3 8.5
about 1 year ago 15 days ago
Jupyter Notebook Jupyter Notebook
MIT 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.

lovely-tensors

Posts with mentions or reviews of lovely-tensors. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-05.

datacamp

Posts with mentions or reviews of datacamp. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing lovely-tensors and datacamp you can also consider the following projects:

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

AI-Hacktoberfest - Welcome to the Hacktoberfest Challenge for Artificial Intelligence / Machine Learning ! Today we will be assessing your skills to Predict Forest Fire Areas given its various parameters!

deepsvg - [NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

DataScienceProjects

Introduction_to_statistical_learning_summary_python - Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.