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scikit-learn

scikit-learn: machine learning in Python

scratch-vm

Virtual Machine used to represent, run, and maintain the state of programs for Scratch 3.0

scylla

NoSQL data store using the seastar framework, compatible with Apache Cassandra

seastar

High performance server-side application framework

seeprettyface-generator-yellow

这是一个用StyleGAN训练出的黄种人人脸生成器

serving

A flexible, high-performance carrier for machine learning models（『飞桨』服务化部署框架）

sim

simplecnnbycpp

For Course CS205 'C/C++ Program Design' at Southern University of Scicence and Technology, China

smdl

(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks

sofa-pbrpc

A light-weight RPC implement of google protobuf RPC framework.

sospd

Sum-of-Submodular primal dual algorithm for higher-order Markov Random Fields

spinning-up-a-pong-ai-with-deep-rl

Code for "Spinning Up a Pong AI With Deep RL" on FloydHub

ssdb

SSDB - A fast NoSQL database, an alternative to Redis

stack-rnn

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.

streak

Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)

sudl

deep learning framework

suml

Machine Learning Algorithms

sunet

a light strategy server framework.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-1

图解tensorflow 源码

tensorflow-deepfm

Tensorflow implementation of DeepFM for CTR prediction.

textclassifier

tensorflow implementation

textcnn

CNN 实现文本分类

tf-dcgan

DCGAN implementation by TensorFlow

threadpool

A simple C++11 Thread Pool implementation

tinydnn

Tiny yet Powerful Deep Neural Networks

top2vec

Generate topic, document and word embeddings.

tr

Free Offline OCR 离线的文本识别SDK

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.