An Open Source Machine Learning Framework for Everyone
created at Nov. 7, 2015, 1:19 a.m.
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
created at Jan. 22, 2017, 6:03 a.m.
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
created at March 31, 2017, 7:26 p.m.
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
created at Nov. 26, 2016, 2:41 p.m.
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
created at May 18, 2016, 2 a.m.
"Neural Turing Machine" in Tensorflow
created at Dec. 9, 2015, 2:22 p.m.
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
created at Nov. 18, 2015, 7:55 p.m.
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105
created at Dec. 20, 2018, 10:08 p.m.
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
created at March 26, 2019, 9:01 p.m.
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
created at Aug. 25, 2017, 8:33 p.m.
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
created at May 27, 2017, 6:15 p.m.
A coding exercise: let's convert dirty machine learning code into clean code using a Pipeline - which is the Pipe and Filter Design Pattern applied to Machine Learning.
created at March 11, 2020, 2:26 a.m.
A curated list for resources on Neuraxle.
created at Feb. 20, 2021, 8:32 p.m.