lightenit Goto Github PK

36705-intermediate-stat

36-705 Intermediate Statistics, Fall 2017 - CMU Statistics

adversarial-multi-criteria-learning-for-cws

The implementation of paper https://arxiv.org/abs/1704.07556, ACL 2017

annexml

AnnexML is a multi-label classifier designed for extremely large label space.

anomalydetection

Twitter's Anomaly Detection in Pure Python

byrne-euclid

MetaPost + ConTeXt rendition of Oliver Byrne's "The first six books of the Elements of Euclid"

controlnet

Let us control diffusion models

cs-notes

:books: Computer Science Learning Notes

czsc

缠中说禅技术分析工具；缠论；股票；期货

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

flow-gan

Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.

fundcrawler

爬取天天基金网，辅助对投资基金的选择

glow

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

graphcl

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

graphgan

A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

gspan

Python Implementation

hin-node2vec

hosts

镜像：https://coding.net/u/scaffrey/p/hosts/git

huxpro.github.io

My Blog / Jekyll Themes / PWA

imdbcrawler

A crawler for IMDB Movies dataset.

lightenit.github.io

lte

Latent Topic Embedding

minimal-mistakes

:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.

minimax-problem

mygithubpage

pythonplantsvszombies

a simple PlantsVsZombies game

raunet-tumor-segmentation

residual attention unet for tumor segmentation (liver and brain)

rjmcmc

RJMCMC for GMM

semihin

source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks"

styletransfer

tensorflow

Computation using data flow graphs for scalable machine learning