Mandule's Stars
CyC2018/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
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
labuladong/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.
GrowingGit/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。
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
tqdm/tqdm
:zap: A Fast, Extensible Progress Bar for Python and CLI
ShusenTang/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。
microsoft/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.
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
iissnan/hexo-theme-next
Elegant theme for Hexo.
NLP-LOVE/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。
graykode/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
yidao620c/python3-cookbook
《Python Cookbook》 3rd Edition Translation
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
jvns/pandas-cookbook
Recipes for using Python's pandas library
649453932/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。
tkipf/pygcn
Graph Convolutional Networks in PyTorch
datawhalechina/joyful-pandas
pandas中文教程
datawhalechina/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
shenweichen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
Smilexuhc/Data-Competition-TopSolution
Data competition Top Solution 数据竞赛top解决方案开源整理
thunlp/PLMpapers
Must-read Papers on pre-trained language models.
sangyx/deep-finance
Datasets, papers and books on AI & Finance.
maciejkula/glove-python
Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/
Bjarten/early-stopping-pytorch
Early stopping for PyTorch
chenyuntc/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)
Jhy1993/Representation-Learning-on-Heterogeneous-Graph
Representation-Learning-on-Heterogeneous-Graph
njuHan/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
sisinflab/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.