vishalbelsare Goto Github PK

spinn

SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

spinningup

An educational resource to help anyone learn deep reinforcement learning.

splash

Splash Project for parallel stochastic learning

splash-1

Lightweight, scriptable browser as a service with an HTTP API

splines

:wavy_dash: Approximate spline of any degree to given data

splitbrainauto

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

splitdoor-causal-criterion

A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying causal effect.

spolc

Zhao-Rong Lai, Liming Tan, Xiaotian Wu and Liangda Fang. "Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization", Journal of Machine Learning Research, 21(97):1−37, 2020.

spopt

Spatial Optimization

sporco

Sparse Optimisation Research Code

spot

A linear-operator toolbox for Matlab

spot-tutorial

Tutorial for SPOT

spotpy

A Statistical Parameter Optimization Tool

spreadingvectors

Open source implementation of "Spreading Vectors for Similarity Search"

sprint-dlsetup

Various semi-random links/instructions for setting up everything for keras and sktime for the Turing sprint event

sps

Official code for the Stochastic Polyak step-size optimizer

sptgraph

Mirror of kikohs's sptgraph repo

spx_futures_roll_strategy

The Project aims to design the optimal monthly roll strategy for SPX futures such that we have minimum roll cost.

spykes

Tools for spike data analysis and visualization

sqfd-timeseries

Repository for the ECML/PKDD 2017 paper "Efficient Temporal Kernels between Feature Sets for Time Series Classification"

sqlg

tinkerpop3 graph over sql

sqlgen

An Automated SQL Query Generation Framework for Scalable Feature Discovery

sqlrender

This is an R package and Java library for rendering parameterized SQL, and translating it to different SQL dialects.

squad

Library to analyze univariate time series and discrete sequences

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

squirrel-optimizer-bbo-neurips20-automlorg

srlboost

⚡ SRLBoost: BoostSRL but half the size and twice the speed. Refactor for srlearn's core.

ssl_graph

Semi supervised learning on graphs

ssl_rep

Combining insights from representation learning and semi supervised learning

ssm

Bayesian learning and inference for state space models