Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
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Updated
Jul 10, 2021 - Python
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural networks, with the plan to integrate more.
reflame: Revolutionizing Functional Link Neural Network by Metaheuristic Optimization
Evolutionary Computation Framework in Java
Infer cell-cell communications based on feed-forward neural network
A Feed-forward Neural Network model in JAVA for Intelligent Character Recognition - trained and tested on the MNIST dataset. Classification accuracy up to 98.22%.
Model neurons as elixir processes in feed forward network
This repository hosts the programming exercises for the course "Machine Learning" of AUEB Informatics.
This repository contains materials and course projects during attending the Intelligent Systems Course, for more detailed information please have a look at my Final_Report files which have been separately uploaded for each of the projects and consist of all required information about the implementations, analyses, and anything else you may conce…
Deep Learning image recognition with TensorFlow Keras. Created a Feed-Forward-Network from scratch and used pretrained networks MobileNetV2, ResNet50, and VGG16.
🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.
Sentiment Classifier using: Softmax-Regression, Feed-Forward Neural Network, Bidirectional stacked LSTM/GRU Recursive Neural Network, fine-tuning on BERT pre-trained model. Question Answering using BERT pre-trained model and fine-tuning it on various datasets (SQuAD, TriviaQA, NewsQ, Natural Questions, QuAC)
A Repo for Neural Network Assignment
A Novel Approach to Noise Generation using a Feed Forward Seed Based Noise algorithm
A simple sentiment analyser
Using a deep neural network to predict the outcome of a statistic-based combat system
a vectorized, python-based implementation of deep feed forward neural network for binary classification.
Machine learning algorithms for the calibration of epidemiological compartmental models: application to the Italian COVID-19 outbreaks in Italy and to the newly developed SUIHTER model.
Prediction of Protein-Protein Interaction (PPI) sites for the classification of aminoacidic interaction
PyTorch Tutorial
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