Simulation and Parameter Estimation in Geophysics - A python package for simulation and gradient based parameter estimation in the context of geophysical applications.

Single-file implementations of 2D and 3D acoustic and elastic wave propagation in time domain using finite-differences(FDTD). Simple formulation and implementation

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

PyTorch implementation of UNet++ (Nested U-Net).

This repo contains a PyTorch implementation with DeepWave for the manuscript FWIGAN: Full-waveform inversion via a physics-informed generative adversarial network

An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.

Publication-ready NN-architecture schematics.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

Deep learning seismic waveform inversion using pydsm

An automated workflow tool for full waveform inversion and adjoint tomography

Octave/Matlab programs for processing and plotting 2D and 3D Ground Penetrating Radar data

RNN based Time-series Anomaly detector model implemented in Pytorch.

🌊 Numerically solving and backpropagating through the wave equation

A Benchmark for Seismic Velocity Inversion from Synthetics

Full Waveform Inversion

Deep-learning inversion: A next-generation seismic velocity model building method

Benchmarks for several RNN variations with different deep-learning frameworks

tfts: Time Series Deep Learning Models in TensorFlow

An Open Source Machine Learning Framework for Everyone

CNN神经网络细胞形态彩色图像识别数据集制作，训练，预测

使用tensorflow和cnn做的图像识别，对四种花进行了分类。

CNN-RNN中文文本分类，基于TensorFlow

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 20…

Generic U-Net Tensorflow implementation for image segmentation

3D EM Modelling and Inversion with Open Source Resources

EM3DVP: a Visual Package for 3D Geo-Electromagnetic modeling and inversion

A Distributed Matrix Operations Library Built on Top of Spark

Scala matrix inversion in Spark

This program converts MATLAB®/Octave figures to TikZ/pgfplots figures for smooth integration into LaTeX.