Rémi Hurstel's repositories
DBN_Autoencoder_Classifier
An pytorch implementation of Deep Belief Network with sklearn compatibility for classification. The training process consists the pretraining of DBN, fine-tuning as an unrolled autoencoder-decoder, and supervised fine-tuning as a classifier.
CapsGNN
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
solar_wind
RAMP starting kit on solar wind classification
datacamp-master
Datacamp class for master student - 1 week
CapsGNN-1
Tensorflow implementation of Capsule Graph Neural Network
2022-assignment-sklearn
Assignment 3 for the DataCamp course X-DataScience Master - scikit-learn API
2022-assignment-pandas
Assignment 2 for the DataCamp course X-DataScience Master -- pandas
2022-assignment-numpy
Assignment 1 for the DataCamp course X-DataScience Master -- numpy
deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility