Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Cppnumericalsolvers | 766 | 2 years ago | 2 | mit | C++ | |||||
a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow) | ||||||||||
Gradientdescentexample | 428 | 5 years ago | 1 | mit | Python | |||||
Example demonstrating how gradient descent may be used to solve a linear regression problem | ||||||||||
Ai Simplest Network | 317 | 4 years ago | Go | |||||||
The simplest form of an artificial neural network explained and demonstrated. | ||||||||||
Organization Overview | 310 | 4 years ago | ||||||||
👇 Overview of all the resources of BRIIM: JavaScript in Machine Learning | ||||||||||
Stein Variational Gradient Descent | 261 | 5 years ago | 1 | mit | Python | |||||
code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm" | ||||||||||
Hands On Deep Learning Algorithms With Python | 241 | 4 years ago | 1 | Jupyter Notebook | ||||||
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow | ||||||||||
Backprop | 180 | 18 | 9 months ago | 23 | July 23, 2023 | 4 | bsd-3-clause | Haskell | ||
Heterogeneous automatic differentiation ("backpropagation") in Haskell | ||||||||||
Ml Course | 168 | 3 months ago | R | |||||||
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language | ||||||||||
Intro_to_the_math_of_intelligence | 153 | 5 years ago | 2 | mit | Python | |||||
This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube | ||||||||||
Far Ho | 133 | 4 years ago | 2 | mit | Jupyter Notebook | |||||
Gradient based hyperparameter optimization & meta-learning package for TensorFlow |