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ctr、cvr预估

❗ uplift modeling in scikit-learn style in python 🐍

A safe, transparent way to share and deploy scikit-learn models.

Implementation and experiments of graph embedding algorithms.

A collection of important graph embedding, classification and representation learning papers with implementations.

Evolutionary algorithm toolbox and framework with high performance for Python

Keyword spotting on Arm Cortex-M Microcontrollers

this is a library that uses the reference CUDA bicgstab Ax=b solver implementation

下载B站视频到本地

all kinds of text classification models and more with deep learning

Tengine is a lite, high performance, modular inference engine for embedded device

This library provides common speech features for ASR including MFCCs and filterbank energies.

Feature extraction of speech signal is the initial stage of any speech recognition system.

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem em…

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

all kinds of baseline models for sentence similarity 句子对语义相似度模型

搜狗新闻语料训练的word2vec中文模型

this repository is the implementation of MTCNN with no framework, Just need opencv and openblas, support linux and windows

Heroku buildpack: Wordpress on Heroku

CVPR2015 Cascade CNNs for Face Detection

train model of "A Lightened CNN for Deep Face Representation" 人脸识别