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sadtalker

[CVPR 2023] SadTalker：Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation

sbb_textline_detection

Detect textlines in document images

scan2topic

A system for reading scanned documents and grouping them into high level topics

scanned-document-classification-using-deep-learning

BFSI sectors deal with lots of unstructured scanned documents which are archived in document management systems for further use.For example in Insurance sector, when a policy goes for underwriting, underwriters attached several raw notes with the policy, Insureds also attach various kind of scanned documents like identity card, bank statement, letters etc. In later parts of the policy life cycle if claims are made on a policy, releted scanned documents also archeived.Now it becomes a tedious job to identify a particular document from this vast repository. The goal of this case study is to develop a deep learning based solution which can automatically classify scanned documents.

scikit-learn-recipes

Build machine learning models with scikit-learn power tools

seismic-simulation-complex-media

This repository reproduces the results of the paper "Deep learning for fast simulation of seismic waves in complex media" (B. Moseley et al, 2020, Solid Earth)

seismic-transfer-learning

Deep-learning seismic facies on state-of-the-art CNN architectures

seismic_deep_learning

A couple of python scripts to interpret geological structures from geophysical images using deep learning

seismicpro

Seismic data processing with ML and deep learning

seismicsuperresolution

Repository for the paper "Deep Learning for Simultaneous Seismic Image Super-Resolution and Denoising" (IEEE TGRS)

seismology

Teaching material for ErSE 210 Seismology course

self-learning

Books Papers, Courses & more I have to learn soon

sfd-cnn-tl

Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data -- Authors: Augusto Cunha, Axelle Pochet, Helio Lopes, Marcelo Gattass

shap

A game theoretic approach to explain the output of any machine learning model.

silent.worm

ai; with a little sandbox for them to play.

simpeg

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

simpeg-benchmarks-gravity

simple-neural-network

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

sklearn_tutorial

Materials for my scikit-learn tutorial

social-media-tutorials

Image/Code dump of Twitter/Youtube tutorials

stable-diffusion-controlnet-webui

Diffusion WebUI: Stable Diffusion + ControlNet + Inpaint

stable-diffusion-webui-directml

Stable Diffusion web UI

streamlit-demo-app

A simple repayment calculator created with Streamlit.

streamlit-geospatial

A multi-page streamlit app for geospatial

streamlit-sales-dashboard

Interactive Streamlit dashboard visualizing sales data from Excel with dynamic filters and key KPIs.

studycode

swit

Seismic Waveform Inversion Toolbox

tensorflow-tensorrt

This repository is for my YT video series about optimizing a Tensorflow deep learning model using TensorRT. We demonstrate optimizing LeNet-like model and YOLOv3 model, and get 3.7x and 1.5x faster for the former and the latter, respectively, compared to the original models.

text-classification-cnn-pytorch

The aim of this repository is to show a baseline model for text classification through convolutional neural networks in the PyTorch framework. The architecture implemented in this model was inspired by the one proposed in the paper: Convolutional Neural Networks for Sentence Classification.

tfodcourse