tinymind
Andrew-NG-Notes
tinymind | Andrew-NG-Notes | |
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1 | 1 | |
7 | 2,282 | |
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7.1 | 0.0 | |
about 2 months ago | 2 months ago | |
C++ | Jupyter Notebook | |
MIT License | - |
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tinymind
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Is there anything like Embedded Artificial Intelligence & Machine Learning? Can anyone tell me more about it?
Take a look at TinyMind: https://github.com/danmcleran/tinymind
Andrew-NG-Notes
What are some alternatives?
iNeural - A library for creating Artificial Neural Networks, for use in Machine Learning and Deep Learning algorithms.
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
chess-deep-rl-cpp - C++ version of my chess-deep-rl project. WIP
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
MachineLearning - From linear regression towards neural networks...
gdrl - Grokking Deep Reinforcement Learning
NeuralNetworks - A resource-conscious neural network implementation for MCUs
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
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.