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uestc-chen's Projects

academic-research icon academic-research

论文的研究方法及工具 图神经网络相关知识文档 推荐系统相关知识文档

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

attribute_charge icon attribute_charge

The source code of our COLING'18 paper "Few-Shot Charge Prediction with Discriminative Legal Attributes".

awesome-open-gpt icon awesome-open-gpt

Collection of Open Source Projects Related to GPT,GPT相关开源项目合集🚀、精选🔥🔥

bert icon bert

TensorFlow code and pre-trained models for BERT

bert-bilstm-crf icon bert-bilstm-crf

This model base on bert-as-service. Model structure : bert-embedding bilstm crf.

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

chatgpt icon chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

chinese-names-corpus icon chinese-names-corpus

中文人名语料库。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。

chinesenlpcorpus icon chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

chinesenlpcorpus-1 icon chinesenlpcorpus-1

An collection of Chinese nlp corpus including basic Chinese syntatic wordset, semantic wordset, historic corpus and evaluate corpus. 中文自然语言处理的语料集合,包括语义词、领域共时、历时语料库、评测语料库等。

chinesenre icon chinesenre

中文实体关系抽取,pytorch,bilstm+attention

deeplearning4j icon deeplearning4j

Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark - From Skymind

dgfraud icon dgfraud

A Deep Graph-based Toolbox for Fraud Detection

distributed-graph-analytics icon distributed-graph-analytics

Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

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