Learningtolearnbohp
Backpropagation training of neural networks with Hebbian plastic connections
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Dfdx | 1,502 | 4 months ago | 17 | July 27, 2023 | 79 | other | Rust | |||
| Deep learning in Rust, with shape checked tensors and neural networks | ||||||||||
| Genann | 1,398 | 7 months ago | 11 | zlib | C | |||||
| simple neural network library in ANSI C | ||||||||||
| Lectures Labs | 1,309 | a year ago | 2 | mit | Jupyter Notebook | |||||
| Slides and Jupyter notebooks for the Deep Learning lectures at Master Year 2 Data Science from Institut Polytechnique de Paris | ||||||||||
| Neataptic | 978 |  | 24 | 7 | 5 years ago | 81 | October 21, 2017 | 76 | other | JavaScript |
| :rocket: Blazing fast neuro-evolution & backpropagation for the browser and Node.js | ||||||||||
| Factor Network | 525 | 6 years ago | 1 | mit | JavaScript | |||||
| A simple factor network implementation written by JavaScript | ||||||||||
| Go Deep | 436 | 11 | a year ago | 1 | April 27, 2023 | 2 | mit | Go | ||
| Artificial Neural Network | ||||||||||
| Gonn | 334 | 1 | 1 | 8 years ago | 1 | January 29, 2016 | 3 | Go | ||
| GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN | ||||||||||
| 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. | ||||||||||
| Slayerpytorch | 250 | a year ago | 8 | gpl-3.0 | Jupyter Notebook | |||||
| PyTorch implementation of SLAYER for training Spiking Neural Networks | ||||||||||
| Deepneuralclassifier | 243 | a year ago | Julia | |||||||
| Deep neural network using rectified linear units to classify hand written symbols from the MNIST dataset. | ||||||||||
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