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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Evotorch | 941 | 1 | 3 months ago | 9 | November 02, 2023 | 13 | apache-2.0 | Python | ||
Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE. | ||||||||||
Abagail | 249 | 3 months ago | 6 | bsd-3-clause | Java | |||||
The library contains a number of interconnected Java packages that implement machine learning and artificial intelligence algorithms. These are artificial intelligence algorithms implemented for the kind of people that like to implement algorithms themselves. | ||||||||||
Deeplearning.ai | 110 | 6 years ago | HTML | |||||||
Hyper Engine | 69 | 1 | 6 years ago | 2 | February 10, 2018 | 8 | apache-2.0 | Python | ||
Python library for Bayesian hyper-parameters optimization | ||||||||||
Machine Learning In Python Workshop | 54 | 4 years ago | Jupyter Notebook | |||||||
My workshop on machine learning using python language to implement different algorithms | ||||||||||
Learning Lab C Library | 30 | 7 months ago | mit | C | ||||||
This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated | ||||||||||
Variationalneuralannealing | 22 | a year ago | other | Jupyter Notebook | ||||||
A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems. | ||||||||||
Intro_to_dl_tutorial | 11 | 3 years ago | Jupyter Notebook | |||||||
Material for introduction to Deep Learning Tutorials, Summer '20, '21 | ||||||||||
Zkml Optimization | 9 | a year ago | 1 | mit | TypeScript | |||||
Optimization for on-chain private machine learning. | ||||||||||
Mindseye | 8 | 5 years ago | apache-2.0 | Java | ||||||
Neural Networks in Java 8 with CuDNN and Aparapi |