| | Exploratory Data Analysis for Cybersecurity Intrusion Detection (github.com/guillaume-chevalier) |
| 1 point by Neuraxio on Oct 19, 2022 | past |
|
| | LinkedIn Connections Growth Analysis (github.com/guillaume-chevalier) |
| 1 point by Neuraxio on July 2, 2021 | past |
|
| | Forecasting Time Series Data with a Seq2seq RNN in TensorFlow [Tutorial] (github.com/guillaume-chevalier) |
| 3 points by Neuraxio on Jan 20, 2020 | past |
|
| | Spiking Neural Network with PyTorch Where Backpropagation Engenders STDP (github.com/guillaume-chevalier) |
| 2 points by raptortech on Nov 11, 2019 | past | 1 comment |
|
| | How to Grow Software Architecture out of Jupyter Notebooks (github.com/guillaume-chevalier) |
| 189 points by jedwhite on Dec 12, 2018 | past | 101 comments |
|
| | Awesome-Deep-Learning-Resources: Rough list of deep learning resources (github.com/guillaume-chevalier) |
| 5 points by pestkranker on Nov 21, 2018 | past | 1 comment |
|
| | How to Grow Neat Software Architecture Out of Jupyter Notebooks (github.com/guillaume-chevalier) |
| 4 points by GChevalier on Oct 30, 2018 | past |
|
| | Conv library for convolutional loops: no, you won't code this from scratch again (github.com/guillaume-chevalier) |
| 1 point by GChevalier on Oct 13, 2018 | past | 1 comment |
|
| | LARNN: Linear Attention Recurrent Neural Network (github.com/guillaume-chevalier) |
| 1 point by GChevalier on May 15, 2018 | past |
|
| | Machine Learning: Attention Mechanisms Decoder Trees for Code Generation (github.com/guillaume-chevalier) |
| 4 points by GChevalier on April 26, 2018 | past | 1 comment |
|
| | Coding Google's Heat Dissipation Challenge in TensorFlow (github.com/guillaume-chevalier) |
| 2 points by GChevalier on March 30, 2018 | past |
|
| | LTSMs for Human Activity Recognition (github.com/guillaume-chevalier) |
| 2 points by jlturner on July 30, 2017 | past | 1 comment |
|
| | Forecast Signal with Seq2seq LSTM [Awesome TensorFlow Tutorial] (github.com/guillaume-chevalier) |
| 4 points by GChevalier on June 20, 2017 | past |
|
| | Most awesome deep learning resources (github.com/guillaume-chevalier) |
| 2 points by GChevalier on Jan 29, 2017 | past |
|
| | List of my favorite deep learning papers (github.com/guillaume-chevalier) |
| 5 points by GChevalier on Dec 13, 2016 | past |
|
| | Use LSTMs on time series [TensorFlow awesome tutorial] (github.com/guillaume-chevalier) |
| 15 points by GChevalier on Dec 11, 2016 | past |
|
| | LSTM for Human Activity Recognition (github.com/guillaume-chevalier) |
| 88 points by GChevalier on Nov 27, 2016 | past | 7 comments |
|
| | Activity recognition from phone sensors with Recurrent Neural Networks (github.com/guillaume-chevalier) |
| 3 points by GChevalier on July 31, 2016 | past |
|
