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Utilizing Singular Value Decomposition (SVD) for audio compression: Convert audio to spectrograms, apply SVD for dimension reduction, and reconstruct with Griffin-Lim. High compression, minimal qua…
The only guide you need to learn everything about GMM
Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
A Python wrap-up of PhaseNet for use with EarthWorm
Here is where I will put all the code I use to generate my explanatory videos!
ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.
Calculate ambient noise cross-correlations, measure phase velocities, and invert for phase velocity maps in MATLAB.
Free Data Engineering course!
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
10 Weeks, 20 Lessons, Data Science for All!
This repository contains all the deep learning projects done as tutorial
Example deep learning projects that use wandb's features.
Transfer Learning using state-of-the-art CNN architectures (ResNet34 and Xception). Class engineering, learning rate/weight decay tuning and one-cycle policy are implemented.
Codes for plotting seismic activity
List of Data Science Cheatsheets to rule the world
A multitaper spectral estimation toolbox implemented in Matlab, Python, and R
Code accompanying the paper "Complex-valued neural networks for machine learning on non-stationary physical data".
DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks
Apply diffusion models for denoising seismograms.
Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
Audio generation using diffusion models, in PyTorch.
Simple and readable code for training and sampling from diffusion models
Official implementation of Cold-Diffusion for different transformations in pytorch.
This repository gives the codes for numerical solver independent seismic wave simulation using Task-decomposed Physics-informed Neural Networks.
A collection of resources and papers on Diffusion Models
Refine high-quality datasets and visual AI models