Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
updated at Aug. 25, 2017, 8:33 p.m.
A curated list for resources on Neuraxle.
updated at July 12, 2021, 9:28 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
updated at July 18, 2023, 11:20 a.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.
updated at Oct. 3, 2023, 8:21 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.
updated at Feb. 29, 2024, 5:11 a.m.
"Neural Turing Machine" in Tensorflow
updated at April 22, 2024, 4:11 p.m.
Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning
updated at April 22, 2024, 5:30 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
updated at April 23, 2024, 11:10 a.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.
updated at April 23, 2024, 11:17 a.m.
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
updated at April 27, 2024, 12:53 a.m.
An Open Source Machine Learning Framework for Everyone
updated at April 28, 2024, 12:52 a.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.
updated at April 28, 2024, 7:52 a.m.
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
updated at April 28, 2024, 11:29 a.m.