autoencoders

Here are 14 public repositories matching this topic...

curiousily / Deep-Learning-For-Hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

python machine-learning deep-learning sentiment-analysis tensorflow keras artificial-intelligence neural-networks object-detection jupyter-notebooks autoencoders tensorflow-tutorial bert image-augmentation anomaly-detection time-series-classification time-series-forecasting lstms intent-recognition

Updated Apr 23, 2020
Jupyter Notebook

curiousily / Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

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iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

deep-learning tensorflow keras credit-card-fraud autoencoders tensorflow-tutorial anomaly-detection

Updated Jun 28, 2019
Jupyter Notebook

jbramburger / DataDrivenDynSyst

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Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

data-science machine-learning neural-network forecasting autoencoder dynamical-systems kernel-methods conservation-laws autoencoders sindy dynamic-mode-decomposition time-delay stroboscopic-map poincare-map autoencoder-neural-network extended-dynamic-mode-decomposition physics-informed-learning sindy-algorithm physics-informed-neural-networks universal-approximation-theorem

Updated Mar 21, 2024
Jupyter Notebook

HROlive / Applications-of-AI-for-Anomaly-Detection

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Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.

python machine-learning deep-learning notebook tensorflow keras pandas generative-adversarial-network xgboost autoencoders anomaly-detection nvidia-gpu rapids

Updated May 23, 2024
Jupyter Notebook

fazildgr8 / AppliedDeepLearning

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This repository consists a set of Jupyter Notebooks with a different Deep Learning methods applied. Each notebook gives walkthrough from scratch to the end results visualization hierarchically. The Deep Learning methods include Multiperceptron layers, CNN, GAN, Autoencoders, Sequential and Non-Sequential deep learning models. The fields applied …

cnn consists gan jupyter-notebooks autoencoders

Updated Sep 26, 2020
Jupyter Notebook

smlra-kjsce / Cyber-ML-DL-101

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Repository of all notebooks used in workshop at NII.

machine-learning-algorithms pytorch cybersecurity neural-networks deep-learning-algorithms ddos-attacks autoencoders portmap network-attack

Updated Dec 11, 2019
Jupyter Notebook

Pranjalya / similar_image_retrieval

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A Jupyter Notebook encasing a Retrieval system for similar images based on the Autoencoder networks and Euclidean Distance and Clustering based approach.

python autoencoders image-retrieval

Updated Dec 21, 2020
Jupyter Notebook

tmvadnn / tmva-dnn-tutorial

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Notebooks containing examples for different DNN components

deep-neural-networks deep-learning recurrent-neural-networks cpp11 convolutional-neural-networks gpu-computing cern autoencoders tmva

Updated Oct 5, 2017
Jupyter Notebook

SelfishGene / my_kaggle_notebooks

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Repo with my most popular kaggle notebooks. I've put a lot of effort into them back in the day, so they are highly curated and well documented.

visualization neural-networks pca kmeans autoencoders interpretability

Updated May 22, 2023
Jupyter Notebook

amoustakis / Machine-Learning-and-Stochastic-Processes-projects

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A series of 12 assignments/labs regarding Stochastic Processes and Machine Learning including a plethora of models and techniques implemented in Google Colab notebooks

linear-regression som pca logistic-regression rbm polynomial-regression autoencoders kmeans-clustering dbn

Updated Jan 1, 2024
Jupyter Notebook

lionelsamrat10 / Deep-Learning-A-to-Z

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This repository contains all the Google Colab Notebooks where I have implemented different Neural Networks like ANN, CNN, RNN, and also other Deep Learning models such as Self-organizing Maps, Autoencoders, Boltzmann Machines, etc.

deep-learning recurrent-neural-networks neural-networks artificial-neural-networks convolutional-neural-networks boltzmann-machines autoencoders self-organizing-map