Andrew-NG-Notes VS Data-Science-Free

Compare Andrew-NG-Notes vs Data-Science-Free and see what are their differences.

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Andrew-NG-Notes Data-Science-Free
1 7
2,266 283
- 3.9%
0.0 10.0
2 months ago almost 2 years ago
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.

Andrew-NG-Notes

Posts with mentions or reviews of Andrew-NG-Notes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-18.

Data-Science-Free

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

What are some alternatives?

When comparing Andrew-NG-Notes and Data-Science-Free you can also consider the following projects:

Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

gdrl - Grokking Deep Reinforcement Learning

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

fsdl-text-recognizer-2022-labs - Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

dive-into-machine-learning - Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)

DeepNeuralNetworksFromScratch - Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.

strategy-ml-nn - This example shows how to use neural networks for writing a trading system on stocks.

embedml - pytorch like machine learning framework from scratch

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.