Pytorch Dni
Decoupled Neural Interfaces Using Synthetic Gradients - under develeopment
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Biggan Pytorch | 2,356 | 3 years ago | 30 | mit | Python | |||||
| The author's officially unofficial PyTorch BigGAN implementation. | ||||||||||
| Cranium | 566 | 6 months ago | 10 | mit | C | |||||
| 🤖 A portable, header-only, artificial neural network library written in C99 | ||||||||||
| Ai Simplest Network | 317 | 4 years ago | Go | |||||||
| The simplest form of an artificial neural network explained and demonstrated. | ||||||||||
| Awesome Distributed Deep Learning | 309 | 2 years ago | ||||||||
| A curated list of awesome Distributed Deep Learning resources. | ||||||||||
| 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. | ||||||||||
| Deepneuralclassifier | 243 | a year ago | Julia | |||||||
| Deep neural network using rectified linear units to classify hand written symbols from the MNIST dataset. | ||||||||||
| Mirror | 221 | 3 years ago | 2 | mit | Jupyter Notebook | |||||
| Visualisation tool for CNNs in pytorch | ||||||||||
| Spytorch | 218 | a year ago | Jupyter Notebook | |||||||
| Tutorial for surrogate gradient learning in spiking neural networks | ||||||||||
| Pytorch Lesson Zh | 214 | 5 years ago | 1 | Jupyter Notebook | ||||||
| pytorch 包教不包会 | ||||||||||
| Learningx | 213 | 3 years ago | 3 | mit | Python | |||||
| Deep & Classical Reinforcement Learning + Machine Learning Examples in Python | ||||||||||
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Python
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