A repository for generating synthetic data (images) using various DL/ML models.
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Updated
Aug 30, 2021 - Python
A repository for generating synthetic data (images) using various DL/ML models.
ECG Classification of Normal and Abnormal with GB-DBN Model (pytorch)
A framework that focuses on using bayesian and Dynamic Bayesian Networks to perform Learning from observation on Discrete Domains
From Markov Fields to Deep Belief Networks theory and experimentation on Google Landmark Recognition.
Cognition and Computation Course Project
Uncover the secrets of deep learning with FashionDBN - implementing PyTorch's Deep Belief Network for accurate image classification and beyond.
Utilisation de modèles génératifs comme tâche prétexte pour pré-entrainement de DNN pour classification.
A web app for training and analysing Deep Belief Networks
This repository is dedicated to my collaboration in the "AUTOMOTIVE" Project. This project's objective is to development automatic face image/video-based drowsiness recognition.
A version of the learnergy package to deal with video datasets
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.
A series of 12 assignments/labs regarding Stochastic Processes and Machine Learning including a plethora of models and techniques implemented in Google Colab notebooks
📄 Official implementation regarding the chapter "Fine-Tuning Deep Belief Networks with Harmony-Based Optimization".
Simple Keras-inspired DeepLearning Framework implemented in Python with Numpy backend: MLP, CNN, RNN, RBF, SOM, DBN...
Tia's implementation of Neural Network Architectures from scratch
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