MachineLearning
deepnet
| MachineLearning | deepnet | |
|---|---|---|
| 6 | 1 | |
| 17 | 319 | |
| - | - | |
| 8.4 | 0.0 | |
| 3 months ago | almost 2 years ago | |
| C++ | Python | |
| GNU General Public License v3.0 only | MIT License |
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MachineLearning
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Get gradient of Softmax activation
Softmax is at the end of this source file: https://github.com/aromanro/MachineLearning/blob/master/MachineLearning/MachineLearning/ActivationFunctions.h
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C++ Show and Tell - June 2023
Continuing extending the machine learning project: https://github.com/aromanro/MachineLearning With dropout I managed to go over 99% accuracy on digits from the EMNIST dataset, currently I'm thinking of adding batch normalization and then adding convolutional networks.
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How to learn Linear Regression
I have a project on GitHub on this: https://github.com/aromanro/MachineLearning
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C++ Show and Tell - May 2023
A project going up from simple linear regression to neural networks (multilayer perceptron for now, applied on xor, the iris dataset and EMNIST dataset): https://github.com/aromanro/MachineLearning
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Trying to create a C neural network.
I implemented a multilayer perceptron in C++ (using Eigen for matrix computations): https://github.com/aromanro/MachineLearning
- Invata cum functioneaza Chat GPT si retelele neuronale
deepnet
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Neural Network from Scratch
For those interested in simple neural networks to CNN and RNNs implemented with just Numpy (including backprop):
https://github.com/parasdahal/deepnet
What are some alternatives?
TurboGE - A simple OpenGL game engine written in C++ with Python scripting
micrograd - A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Project-Alice - An open-source game
ML-From-Scratch - Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
QCSim - Quantum computing simulator
NNfSiX - Neural Networks from Scratch in various programming languages
Beta
RAdam - On the Variance of the Adaptive Learning Rate and Beyond
kharoon-client - A crash reporter client that aims to be cross-platform and easy to use.
machine.academy - Neural Network training library in C++ and C# with GPU acceleration
Code4School - Code I wrote in school
deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.