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se3-transformer-public

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

se3-transformer-pytorch

Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch

se3-transformers

Implementation of 3D Rotation / Translation Equivariant Attention Networks, in Pytorch

seafoam

A tool for working with compiler graphs

seal

Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

sears

Code for "Semantically Equivalent Adversarial Rules for Debugging NLP Models"

seastar

High performance server-side application framework

seclists

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

second.pytorch

PointPillars for KITTI object detection

secp256k1-x64

very fast (NOT SECURE) implementation of arithmetic on curve secp256k1 on x86_64

secretive

Store SSH keys in the Secure Enclave

secure-electron-template

The best way to build Electron apps with security in mind.

secure-xgboost

Secure collaborative training and inference for XGBoost.

securify2

Securify v2.0

security-notes

:notebook: Some security related notes

security-token-test

Test Security Token (ERC-1400) in Quorum Network

sedi

segloss

A collection of loss functions for medical image segmentation

segmentation_lecture

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

segmentintersections.jl

An implementation of the Bentley-Ottmann algorithm written in Julia.

segwithdistmap

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

seismicmesh

2D/3D serial and parallel triangular mesh generation tool for Finite Element Methods.

selecsls-pytorch

Reference ImageNet implementation of SelecSLS CNN architecture proposed in the SIGGRAPH 2020 paper "XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera". The repository also includes code for pruning the model based on implicit sparsity emerging from adaptive gradient descent methods, as detailed in the CVPR 2019 paper "On implicit filter level sparsity in Convolutional Neural Networks".

self-adaptive-training

Official implementation of the NeurIPS'2020 paper 'Self-Adaptive Training: beyond Empirical Risk Minimization'

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

self-driving-car-in-video-games

A deep neural network that learns to drive in video games

self_supervised

A Pytorch-Lightning implementation of self-supervised algorithms

selfdeblur

Self-supervised linear motion deblurring

sem

SEM, a free NLP tool relying on machine learning technologies, especially CRFs.