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netik1020 / Concise-iPython-Notebooks-for-Deep-learning

Star 42

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

deep-neural-networks text-classification word-embeddings snapshot image-processing text-generation autoencoder image-classification deeplearning text-processing image-segmentation semantic-relationship-extraction keras-neural-networks u-net bi-lstm-crf intent-classification attention-lstm inception-architecture unet-keras
  • Updated Aug 9, 2019
  • Jupyter Notebook

jbramburger / DataDrivenDynSyst

Star 64

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

GitiHubi / deepAI

Star 195

Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.

deep-learning accounting pytorch autoencoder fraud-prevention fraud-detection anomaly-detection fraud forensic-accounting
  • Updated Aug 7, 2019
  • Jupyter Notebook

Snigdho8869 / AI-Generative-Models-Notebooks-DCGAN-VAE-Autoencoder

Star 2

This repository contains notebooks showcasing various generative models, including DCGAN and VAE for anime face generation, an Autoencoder for converting photos to sketches, a captioning model using an attention mechanism for an image caption generator, and more.

tensorflow image-processing cnn generative-adversarial-network dcgan generative-model autoencoder vae generative-art image-captioning image-generation sketches variational-autoencoder generative-models upsample photo-to-sketch image-caption-generator deep-convolutional-gan anime-face-generation generative-ai
  • Updated Oct 31, 2023
  • Jupyter Notebook

sourcecode369 / unconventional-neural-networks

Star 11

Implementation notebooks and scripts of Artistic CNN Models and Generative Models like GANs, VAEs, GMMs, Boltzmann Machine etc. in TensorFlow, and Python. This repo aims to understand and make amazing things out of Neural Network layers.

python tensorflow keras pytorch recurrent-neural-networks generative-adversarial-network neural-networks autoencoder convolutional-neural-networks boltzmann-machines attention-mechanism variational-autoencoder generative-models neural-style-transfer
  • Updated Nov 22, 2022
  • Jupyter Notebook

TomMakesThings / Clustering-and-TDA-of-scRNA-seq-Data

Star 8

Final year project experimenting with clustering and topological data analysis of scRNA-seq data using Python and R across two Jupyter notebooks

python machine-learning bioinformatics clustering mapper jupyter-notebook computational-biology pca autoencoder scrna-seq k-means principal-component-analysis topological-data-analysis hierarchical-clustering tda single-cell-rna-seq splatter kepler-mapper
  • Updated Aug 8, 2021
  • Jupyter Notebook

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