Gradientdescent_implementation
Implement different variants of gradient descent in python using numpy
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Minpy | 1,123 | 6 years ago | 36 | May 13, 2017 | 28 | other | Python | |||
| NumPy interface with mixed backend execution | ||||||||||
| Keract | 1,030 | 5 months ago | 2 | mit | Python | |||||
| Layers Outputs and Gradients in Keras. Made easy. | ||||||||||
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| Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy | ||||||||||
| Python Neural Network | 278 | 1 | 4 years ago | 4 | July 29, 2016 | 5 | bsd-2-clause | Python | ||
| This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled conjugate gradient learning. The network has been developed with PYPY in mind. | ||||||||||
| Autoptim | 91 | 5 years ago | 2 | mit | Python | |||||
| Automatic differentiation + optimization | ||||||||||
| Ml Dl Implementation | 41 | a year ago | 1 | April 05, 2021 | 27 | bsd-3-clause | Python | |||
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| Simple Linear Regression Notebook | 35 | 2 years ago | Jupyter Notebook | |||||||
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| Hognumpy | 29 | a year ago | 1 | Python | ||||||
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| Linearregression | 24 | 5 years ago | 1 | Python | ||||||
| An implementation of Linear Regression from scratch in python 📈 | ||||||||||
| Only_numpy_basic | 23 | 6 years ago | mit | Python | ||||||
| This repository contains code for my only numpy basic. | ||||||||||
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Python
Jupyter Notebook
Numpy
Gradient
Optimization Algorithms
Gradient Descent
Network Visualization