Andrew-NG-Notes VS fsdl-text-recognizer-2022-labs

Compare Andrew-NG-Notes vs fsdl-text-recognizer-2022-labs and see what are their differences.

Andrew-NG-Notes

This is Andrew NG Coursera Handwritten Notes. (by ashishpatel26)
andrewng andrew-ng andrew-ng-course andrew-ng-machine-learning Deep Learning neural-network deep-neural-networks reinforcement-learning Machine Learning Pandas Numpy ML dl Coursera coursera-machine-learning Data Science Python Pytorch neural-networks
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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 (by the-full-stack)
deep-neural-networks Machine Learning Mlops
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fullstackdeeplearning.com
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Andrew-NG-Notes fsdl-text-recognizer-2022-labs
1 1
2,266 423
- 2.1%
0.0 6.3
2 months ago 4 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
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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.

fsdl-text-recognizer-2022-labs

Posts with mentions or reviews of fsdl-text-recognizer-2022-labs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-29.

What are some alternatives?

When comparing Andrew-NG-Notes and fsdl-text-recognizer-2022-labs 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

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

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

learnopencv - Learn OpenCV : C++ and Python Examples

gdrl - Grokking Deep Reinforcement Learning

saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

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

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

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, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

linear-regression-from-scratch - A data science project for part II physics project E (surveying using stars)

Andrew-NG-Notes vs Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera fsdl-text-recognizer-2022-labs vs Made-With-ML Andrew-NG-Notes vs machine_learning_complete fsdl-text-recognizer-2022-labs vs learnopencv Andrew-NG-Notes vs gdrl fsdl-text-recognizer-2022-labs vs saliency Andrew-NG-Notes vs DeepNeuralNetworksFromScratch fsdl-text-recognizer-2022-labs vs stock-prediction-deep-neural-learning Andrew-NG-Notes vs strategy-ml-nn Andrew-NG-Notes vs embedml Andrew-NG-Notes vs Note Andrew-NG-Notes vs linear-regression-from-scratch