Min Char Rnn
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Tutorial | 27,137 | 9 months ago | 85 | mit | Python | |||||
| PyTorch Tutorial for Deep Learning Researchers | ||||||||||
| Pytorch Tutorial | 7,372 | a year ago | 28 | mit | Jupyter Notebook | |||||
| Build your neural network easy and fast, 莫烦Python中文教学 | ||||||||||
| Awesome Rnn | 5,856 | 2 years ago | 4 | |||||||
| Recurrent Neural Network - A curated list of resources dedicated to RNN | ||||||||||
| Neuraltalk | 5,172 | 3 years ago | 30 | Python | ||||||
| NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences. | ||||||||||
| Deep Learning V2 Pytorch | 4,973 | a year ago | 15 | mit | Jupyter Notebook | |||||
| Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 | ||||||||||
| Textgenrnn | 4,426 |  | 14 | 2 | 3 years ago | 14 | February 02, 2020 | 122 | other | Python |
| Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. | ||||||||||
| Practical Pytorch | 4,272 | 3 years ago | 91 | mit | Jupyter Notebook | |||||
| Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained | ||||||||||
| Stanford Cs 230 Deep Learning | 4,248 | 4 years ago | 5 | mit | ||||||
| VIP cheatsheets for Stanford's CS 230 Deep Learning | ||||||||||
| Rnnoise | 3,329 | 6 months ago | 162 | bsd-3-clause | C | |||||
| Recurrent neural network for audio noise reduction | ||||||||||
| Lstm Human Activity Recognition | 3,074 | 2 years ago | 19 | mit | Jupyter Notebook | |||||
| Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier | ||||||||||
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