| pytorch/examples |
21,341 |
|
0 |
0 |
about 2 years ago |
0 |
|
198 |
bsd-3-clause |
Python |
| A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc. |
| aladdinpersson/Machine-Learning-Collection |
6,173 |
|
0 |
0 |
over 2 years ago |
0 |
|
95 |
mit |
Python |
| A resource for learning about Machine learning & Deep Learning |
| kjw0612/awesome-rnn |
5,856 |
|
0 |
0 |
about 4 years ago |
0 |
|
4 |
|
|
| Recurrent Neural Network - A curated list of resources dedicated to RNN |
| guillaume-chevalier/LSTM-Human-Activity-Recognition |
3,074 |
|
0 |
0 |
over 3 years ago |
0 |
|
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 |
| Alro10/deep-learning-time-series |
1,811 |
|
0 |
0 |
over 3 years ago |
0 |
|
8 |
apache-2.0 |
Jupyter Notebook |
| List of papers, code and experiments using deep learning for time series forecasting |
| nlpodyssey/spago |
1,691 |
|
0 |
9 |
about 2 years ago |
35 |
October 30, 2023 |
11 |
bsd-2-clause |
Go |
| Self-contained Machine Learning and Natural Language Processing library in Go |
| guillaume-chevalier/Awesome-Deep-Learning-Resources |
1,626 |
|
0 |
0 |
about 2 years ago |
0 |
|
12 |
cc0-1.0 |
|
| Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier |
| hunkim/word-rnn-tensorflow |
1,261 |
|
0 |
0 |
over 6 years ago |
0 |
|
32 |
mit |
Python |
| Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow. |
| nicodjimenez/lstm |
1,056 |
|
0 |
0 |
almost 7 years ago |
0 |
|
25 |
|
Python |
| Minimal, clean example of lstm neural network training in python, for learning purposes. |
| karpathy/recurrentjs |
864 |
|
0 |
0 |
over 9 years ago |
0 |
|
5 |
|
HTML |
| Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation. |
