beteasy Goto Github PK

mtgcn

multicofusion

multimodal_bigmodels_survey

[MIR-2023] A continuously updated paper list for multi-modal pre-trained big models

mustad

Compressing Deep Graph Convolution Network with Multi-Staged Knowledge Distillation (PLOS ONE)

orbit-theme

FREE Bootstrap 5 Resume/CV Template for Developers

os

OS

paper-prepro

the paper of prepro

papers-for-molecular-design-using-dl

List of molecular design using Generative AI and Deep Learning

pat-adcanced-level

pat exercises advanced level

principles-of-computer-composition

Principles of computer composition

proemogi

Pytorch implementation of EMOGI

proxypool

自动抓取tg频道、订阅地址、公开互联网上的ss、ssr、vmess、trojan节点信息，聚合去重后提供节点列表

pyhgt

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

pytorch-camp

pytorch-learning

repdistiller

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

resume

An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git

scell

Single-CELL rna-seq analysis software

semi-utils

一个批量添加相机机型和拍摄参数的工具，后续「可能」添加其他功能。

shadowsocks-go

go port of shadowsocks

shiyan4-javanetprogramming

basic java net programming

simhashforchinese

softwareengineering

softwareEngineering

spamclassification

spark based spam classification using NB

spampro

spark based spam classification using NB with SpringBOOT Framwork

springboot-mybatis

springboot-mybatis

subweb-tsutsu

主题商店：https://theme.sub.tsutsu.cc

surface-distance

Library to compute surface distance based performance metrics for segmentation tasks.

tcga-microbiome-prediction

Predictive models and analysis of cancer prognosis and drug response using primary tumor microbial abundances derived from WGS and RNA-seq sequencing data for 32 TCGA cancers (Poore et al. Nature 2020), including equivalent models using TCGA RNA-seq gene expression and combined microbial abundance and gene expression for comparison.

the-engineering-practice-3

the engineering practice 3. java project