tensorflow by tensorflow

An Open Source Machine Learning Framework for Everyone

created at Nov. 7, 2015, 1:19 a.m.

C++

7,640 +0

182,344 +136

73,865 +23

GitHub
LSTM-Human-Activity-Recognition by guillaume-chevalier

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.

Jupyter Notebook

159 +0

3,287 +2

929 +0

GitHub
skflow by tensorflow

Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

created at Nov. 18, 2015, 7:55 p.m.

Python

161 +0

3,181 -2

441 +0

GitHub
seq2seq-signal-prediction by guillaume-chevalier

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.

Jupyter Notebook

41 +0

1,080 +1

294 +0

GitHub
NTM-tensorflow by carpedm20

"Neural Turing Machine" in Tensorflow

created at Dec. 9, 2015, 2:22 p.m.

Jupyter Notebook

67 +0

1,042 +0

214 +1

GitHub
Neuraxle by Neuraxio

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.

Python

19 +0

596 +0

60 +0

GitHub
HAR-stacked-residual-bidir-LSTMs by guillaume-chevalier

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.

Python

19 +0

313 +1

98 +0

GitHub
Hyperopt-Keras-CNN-CIFAR-100 by guillaume-chevalier

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.

Python

10 +0

106 +0

76 +0

GitHub
filtering-stft-and-laplace-transform by guillaume-chevalier

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.

Jupyter Notebook

4 +0

65 +0

17 +0

GitHub
SGNN-Self-Governing-Neural-Networks-Projection-Layer by guillaume-chevalier

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.

Jupyter Notebook

3 +0

23 +0

3 +0

GitHub
Kata-Clean-Machine-Learning-From-Dirty-Code by Neuraxio

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.

Jupyter Notebook

3 +0

14 +0

5 +0

GitHub
Awesome-Neuraxle by Neuraxio

A curated list for resources on Neuraxle.

created at Feb. 20, 2021, 8:32 p.m.

Unknown languages

3 +0

1 +0

0 +0

GitHub
Smoothly-Blend-Image-Patches by guillaume-chevalier

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.

Python

3 +0

0 +0

1 +0

GitHub