zacharychenpk Goto Github PK

books

【编程随想】收藏的电子书清单（多个学科，含下载链接）

ccpm-baseline

ckiptagger

CKIP Neural Chinese Word Segmentation, POS Tagging, and NER

cl-course

A PLM-based Multi-choice QA model for the Classical Chinese Poem dataset, BAAI CUGE benchmark. For PKU course No.04812160 (Computational Linguistics).

commonsense_papernote

egt2

The source code of the ACL 2022 long paper "Entailment Graph Learning with Textual Entailment and Soft Transitivity"

fbdqa-2021s

Financial Big Data and Quantitative Analytics, Spring 2021.

forum_sensitive_text_filter

A simple hole forum packed with front-end, after-end and filter algorithms. For PKU course No.04831670(Computer Network and Web Tech).

gcn_ethz

gnnpapers

Must-read papers on graph neural networks (GNN)

hetsann

A pytorch implement of HetSANN model.

lm-chinese-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.

local_ethz

masters_thesis

Detecting activity on the Bitcoin network using machine learning and graph analytics

mona2artifact

将莫娜占卜铺导出的圣遗物列表导入原魔计算器

my-bot

一个约锅bot

mygcn

Just a toy-implement for GCN architecture. arXiv:1609.02907

nonmonotonic_text

Non-Monotonic Sequential Text Generation

paper_notes

ros_project

An implementation of a disaster relief robot. For PKU Course No.04830250(Introduction to Artificial Intelligence).

shared-learning-materials

正在搭架子 作为公共分享资料

techkillforqsgs

太阳神三国杀·学科杀 扩展包开源

temp_model

thesis-bitcoin-clustering

The Bitcoin currency is a publicly available, transparent, large scale network in which every single transaction can be analysed. Multiple tools are used to extract binary information, pre-process data and train machine learning models from the decentralised blockchain. As Bitcoin popularity increases both with consumers and businesses alike, this paper looks at the threat to privacy faced by users through commercial adoption by deriving user attributes, transaction properties and inherent idioms of the network. We define the Bitcoin network protocol, describe heuristics for clustering, mine the web for publicly available user information and finally train supervised learning models. We show that two machine learning algorithms perform successfully in clustering the Bitcoin transactions based on only graphical metrics measured from the transaction network. The Logistic Regression algorithm achieves an F1 score of 0.731 and the Support Vector Machines achieves an F1 score of 0.727. This work demonstrates the value of machine learning and network analysis for business intelligence; on the other hand it also reveals the potential threats to user privacy.

tp-egg

The source code of the ACL 2023 long paper "From the One, Judge of the Whole: Typed Entailment Graph Construction with Predicate Generation"

visclassproj1

zacharychenpk.github.io

Academic personal website.