Case Studies and Projects in Machine Learning/EDA/DL
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Updated
May 6, 2024 - Jupyter Notebook
Case Studies and Projects in Machine Learning/EDA/DL
ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance
Huge-scale, high-performance flow cytometry clustering in Julia
(Machine) Learning to Do More with Less
A project to filter SQL Injection and XSS attacks using ANN -- in Ruby
Recognize handwritten digits using back-propagation algorithm on MNIST data-set
Identify circular trajectories in scRNA-seq data using an autoencoder with sinusoidal activations
Miniproject for the course Artificial Neural Network taught at EPFL
The implementation of evolvable-substrate HyperNEAT algorithm in GO language. ES-HyperNEAT is an extension of the original HyperNEAT method for evolving large-scale artificial neural networks.
ANN detecting signal from internal variability
Educational pure python neural network implementation with differential evolution (DE) based network weight optimization procedure.
Implementation of algorithms for soft computing
artifical neural network (ann) supervised learning javascript library and 2d game example
Awesome tutorials, papers, projects and tools for Reservoir Computing techniques like Echo State Networks (ESN).
Option pricing and Delta hedging performance comparison between Black and Scholes vs Artificial Neural Network
In this project, I used the RAVDESS dataset with eight emotions, each at two intensities. I built a model extracting five features from speech signals to classify emotions, providing valuable insights.
Regression Trees, Artificial Neural Networks - by Bag Of Words, TF-IDF
Predicting wether customers will leave a bank or not using Artficial Neural Network training
Artificial Neural Network implementation in Kotlin
FASHION_MINST_PREDICTION_USING_CNN
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