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seismiqb

Seismic data interpretation with deep learning

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.

slm-lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

smworkshop

software.seg2020

Software for SEG2020 abstracts

suffix-tree

A Generalized Suffix Tree for any Python iterable using Ukkonen's algorithm, with Lowest Common Ancestor retrieval.

summarize-from-feedback

Code for "Learning to summarize from human feedback"

sumo-v2x-communication-research-platooning-and-cim

Traffic simulation project for dissertation

tianshou

An elegant PyTorch deep reinforcement learning platform.

transformer_time_series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

transitland-processing-animation

Animating scheduled transit trips using the Transitland API and Processing

trip-based-public-transit-routing-algo

Python implementation of Trip-Based public transit routing algorithm

tsp_transformer

Code for TSP Transformer

wavesolutions

Analytical wave solutions (linear monochromatic, wavetrain, solitary, Stokes, etc.)