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solid

🎯 A comprehensive gradient-free optimization framework written in Python

somebook

MyBook for Work

sonnet

TensorFlow-based neural network library

spacemacs

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

spacevim

A community-driven modular vim distribution - The ultimate vim configuration

spark-corenlp

Stanford CoreNLP wrapper for Apache Spark

spark-fm-parallelsgd

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

spark-tda

SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.

spark-the-definitive-guide

Spark: The Definitive Guide's Code Repository

spark-workshop

Code examples and docker environment for Spark

sparkinternals

Notes talking about the design and implementation of Apache Spark

sparklyr

R interface for Apache Spark

sparsegdlibrary

Matlab library of gradient descent algorithms for sparse modeling: Version 1.0.2

spatio-temporal-paper-list

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

spinningup

An educational resource to help anyone learn deep reinforcement learning.

splash

Splash Project for parallel stochastic learning

split_bregman_piccs_fmri

spotlight

Deep recommender models using PyTorch.

spring-2014-lectures

Code demos for MSAN 622 Data Visualization at the University of San Francisco.

sru

Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

stack-overflow-import

Import arbitrary code from Stack Overflow as Python modules.

stackgan

stacks-project

Repository for the Stacks Project

stan

Stan development repository (home page is linked below). The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

stanford-cs-106a

Women Learning Code references

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stat133

Concepts in Computing with Data, UC Berkeley

stat133-fall-2017

Course materials for Stat 133, fall 2017, at UC Berkeley

stat212b

Topics Course on Deep Learning UC Berkeley