garfieldsun's starred repositories
Awesome-Uplift-Model
🛠 How to Apply Causal ML to Real Scene Modeling？How to learn Causal ML？【✔从Causal ML到实际场景的Uplift建模】
Causal_Inference_NLP_Social_Sciences
Repository of course materials for the course Causal Inference in NLP for Social Sciences, taught by Dr. Huyen Nguyen at University of Hamburg in Summer semester 2022.
Measuring-User-s-Influence-in-Twitter
Abstract— Directed links in social media may represent something from intimate friendships to common interests, or even a passion for breaking news or celebrity gossip. Such directed links confirm the flow of data and therefore indicate a user's influence on others — an inspiration that is crucial in social science and infective agent selling. Throughout this paper, using a good deal of data collected from Twitter, we tend to gift an in-depth comparison of 3 measures of influence: indegree, retweets, and mentions. Supported these measures, we tend to investigate the dynamics of user influence across topics and time. We tend to create many fascinating observations. First, in style users World Health Organization have high indegree are not essentially prestigious in terms of spawning retweets or mentions. Second, most prestigious users will hold vital influence over a spread of topics. We tend to believe that these findings give new insights for infective agent selling and counsel that topological measures like indegree alone reveals very little or no concerning the influence of a user. These measures are terribly numerous. Some are supported easy metrics provided by the Twitter API, whereas others are supported complicated mathematical models.
GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
thorough-pytorch
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
Top-AI-Conferences-Paper-with-Code
MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code
deep-learning-notes
Experiments with Deep Learning
team-learning-nlp
主要存储Datawhale组队学习中“自然语言处理”方向的资料。
team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
Pix2Pix-Keras
基于pix2pix模型的动漫图片自动上色(keras实现) 2019-2-25
lipsync-demo
Cocos lipsync 插件的 demo 示例
schroedinger-deeplearning
A simple neural network solver for the 1-D Schrödinger equation.
deep_learning_and_the_schrodinger_equation
Examples of the generation and training procedures from Deep Learning and the Schrodinger Equation
Speech-and-Text
Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字（PocketSphinx、百度 API、科大讯飞 API）和文字转语音（pyttsx3）