Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
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Updated
Jul 16, 2019 - Jupyter Notebook
Online-Recurrent-Extreme-Learning-Machine (OR-ELM) for time-series prediction, implemented in python
Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.
Sequential Learning for Dance generation
Cloud-Assisted Multi-View Video Summarization using CNN and Bi-Directional LSTM
Sequential Learning App for Materials Discovery (SLAMD)
Corso Applicazioni Energetiche dei Materiali: Esercitazione ML
Repository for the publication "Minimal crystallographic descriptors of sorption properties in hypothetical MOFs and role in sequential learning optimization"
Materials from the MVA Sequential Learning class.
Virtual environment for Sequential Learning for Dance generation
Estimation System for Crops and Horticulture Production with Support Vector Regression (Internship Project)
Paper implementation of Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs
An investigation into weight importance measures in neural networks, relating to sequential learning and interpretability.
An implementation of the Hopfield network in Python. Includes a lot of additional classes, functions, and structures to test Sequential Learning, Energy, and other properties of the Hopfield Network.
Arabic part of speech tagging using arabic PUD dataset using bidirectioanl LSTM for sequential labeling classification
An investigation into sequential learning of tasks using feed-forward networks built with Tensorflow
Backward Coherence for Recurrent Neural Networks: hidden-state stability, diagnostics, and inference via quasi-reverse-martingale theory. Paper, supplement, and reproducible code.
Recreation of the findings presented in the paper titled "Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning"
HF-HMA: an open research experiment in Hellinger-medoid aggregation for finite candidate policies with noisy feedback.
Streamline your educational video series production with our automated system. Harnessing the power of GPTs and YouTube content, my tool efficiently crafts comprehensive learning experiences. Starting from basic concepts and advancing to complex topics, it's ideal for creating sequential, engaging educational content.
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