aoe-khkhan Goto Github PK

sherpa

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

sic-gen

SIC-Gen: A Synthetic Iris-Code Generator

simgnn

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

simon

The purpose of the Sign-Interfaced Machine Operating Network, or SIMON, is to develop a machine learning classifier that translates a discrete set of ASL sign language presentations from images of a hand into a response from another system.

simply-simulated-anealing

Simply Simulated Anealing

simulatedanealing

It is the Simulated Anealing Optimization Impl on TSP

simulation-optimization-using-digital-twins

Simulation Optimization using Digital Twins

singan

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

singan-1

Pytorch implementation of "SinGAN: Learning a Generative Model from a Single Natural Image"

single-objective-swarm-optimization

Optimization algorithm for single objective functions using a hybrid of Particle Swarm Optimization and Simulated Annealing as proposed in: Deepak Joshi, Satyabrata Dash, Ujjawal Agarwal, Ratnajit Bhattacharjee and Gaurav Trivedi, "Analog Circuit Optimization Based on Hybrid Particle Swarm Optimization", International Conference on Computational Science and Computational Intelligence (CSCI 2015), Las Vegas, USA.

slimyolov3

This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

smartide

smoothparticlenets

A set of custom deep network layers written in PyTorch to enable computation with unordered particle sets with an emphasis on fluid dynamics.

smop

Small Matlab to Python compiler

smt

social-stgcnn

Code for "Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction" CVPR 2020

social-transit-solver-python

A deprecated Python implementation of the main tabu search/simulated annealing hybrid solution algorithm for use in a research project of mine dealing with a public transit design model with social access objectives.

softras

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

software-security-learning

Software-Security-Learning

source_code_modelling

Use Transformers and LSTMs to learn Python source code

spacy-course

👩‍🏫 Advanced NLP with spaCy: A free online course

spade

Smart Python Agent Development Environment

spektral

Graph Neural Networks with Keras and Tensorflow.

spinec2m

This repository includes Spine data based CT to MR image synthesis

spleeter

Deezer source separation library including pretrained models.

spot_mini_mini

Deploying minimal-body-acceleration policy on Spot Micro quadruped using Reinforcement Learning as an Optimization Technique over an Open-Loop Bezier Gait.

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

start-machine-learning-in-2020

A complete guide on how to start learning machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field.