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NanJing JiangSu

Liu Ji's starred repositories

PLMpapers

Must-read Papers on pre-trained language models.

MIT331100

Chinese-Text-Classification-Pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

Language:PythonMIT521200

PyTorchText

1st Place Solution for Zhihu Machine Learning Challenge . Implementation of various text-classification models.(知乎看山杯第一名解决方案)

Language:PythonMIT105700

GraphEmbedding

Implementation and experiments of graph embedding algorithms.

Language:PythonMIT363900

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonApache-2.012990700

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

Language:PythonApache-2.0124900

tqdm

:zap: A Fast, Extensible Progress Bar for Python and CLI

Language:PythonNOASSERTION2804500

early-stopping-pytorch

Early stopping for PyTorch

Language:Jupyter NotebookMIT121300

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Language:C++MIT1640900

NYU-DLSP20

NYU Deep Learning Spring 2020

Language:Jupyter NotebookNOASSERTION665400

adversarial-recommender-systems-survey

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-dimensional) data distributions. In this survey, we provide an exhaustive literature review of 74 articles published in major RS and ML journals and conferences. This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.

Representation-Learning-on-Heterogeneous-Graph

Representation-Learning-on-Heterogeneous-Graph

deep-finance

Datasets, papers and books on AI & Finance.

MIT137000

joyful-pandas

pandas中文教程

Language:Jupyter NotebookNOASSERTION450000

ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Language:Jupyter Notebook1553800

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

Language:PythonNOASSERTION6460800

Data-Competition-TopSolution

Data competition Top Solution 数据竞赛top解决方案开源整理

hexo-theme-next

Elegant theme for Hexo.

Language:JavaScriptMIT1586500

njuthesis-nju-thesis-template

南京大学学位论文(本科/硕士/博士)，毕业论文LaTeX模板

Language:TeXGPL-2.033500

pandas-cookbook

Recipes for using Python's pandas library

Language:Jupyter Notebook657100

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

Language:Jupyter NotebookMIT1395000

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

Language:Markdown12448400

python3-cookbook

《Python Cookbook》 3rd Edition Translation

Language:Jupyter Notebook1156100

pygcn

Graph Convolutional Networks in PyTorch

Language:PythonMIT511700

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

Language:Jupyter NotebookApache-2.01806500

competition-baseline

数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

Language:Jupyter NotebookGPL-3.0413900

GitHub-Chinese-Top-Charts

:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。

Language:JavaNOASSERTION9625900

GNNPapers

Must-read papers on graph neural networks (GNN)

jupyter-themes

Custom Jupyter Notebook Themes

Language:CSSMIT974600