BroadCastAir

BroadCastAir's Stars

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python73.6k6.4k

• ManimCommunity/manim

  A community-maintained Python framework for creating mathematical animations.

  Language:Python28.7k2k

• benedekrozemberczki/SimGNN

  A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

  Language:Python774147

• FanzhenLiu/Awesome-Deep-Community-Detection

  Deep and conventional community detection related papers, implementations, datasets, and tools.

  51094

• benedekrozemberczki/karateclub

  Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  Language:Python2.2k247

• wangshusen/RecommenderSystem

  2.7k393

• microsoft/generative-ai-for-beginners

  21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook66.1k34.1k

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook37.2k4.8k

• Doragd/Algorithm-Practice-in-Industry

  搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

  Language:Python2.8k343

• CausalMTA4Open/CAUSALMTA

  Language:Python66

• hongleizhang/RSPapers

  RSTutorials: A Curated List of Must-read Papers on Recommender System.

  6.2k1.4k

• yfzhang114/Generalization-Causality

  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

  1.2k102

• civitai/civitai

  A repository of models, textual inversions, and more

  Language:TypeScript6.3k624

• Kanaries/pygwalker

  PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

  Language:Python13.7k713

• paras2612/CauseBox

  Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensignificant advances through the application of machine learningtechniques, especially deep neural networks. Unfortunately, to-datemany of the proposed methods are evaluated on different (data,software/hardware, hyperparameter) setups and consequently it isnearly impossible to compare the efficacy of the available methodsor reproduce results presented in original research manuscripts.In this paper, we propose a causal inference toolbox (CauseBox)that addresses the aforementioned problems. At the time of thewriting, the toolbox includes seven state of the art causal inferencemethods and two benchmark datasets. By providing convenientcommand-line and GUI-based interfaces, theCauseBoxtoolboxhelps researchers fairly compare the state of the art methods intheir chosen application context against benchmark datasets.

  Language:Python206

• rmcelreath/stat_rethinking_2023

  Statistical Rethinking Course for Jan-Mar 2023

  Language:R2.2k251

• AliciaCurth/CATENets

  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

  Language:Python12922

• kodecocodes/swift-algorithm-club

  Algorithms and data structures in Swift, with explanations!

  Language:Swift28.9k5k

• MaartenGr/BERTopic

  Leveraging BERT and c-TF-IDF to create easily interpretable topics.

  Language:Python6.3k775

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k737

• mckinsey/causalnex

  A Python library that helps data scientists to infer causation rather than observing correlation.

  Language:Python2.3k260

• EvanLi/Github-Ranking

  :star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名，每日自动更新

  Language:Python7.3k475

• maks-sh/scikit-uplift

  :exclamation: uplift modeling in scikit-learn style in python :snake:

  Language:Python74699

• stanfordmlgroup/ngboost

  Natural Gradient Boosting for Probabilistic Prediction

  Language:Python1.7k222

• josephmisiti/awesome-machine-learning

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

  Language:Python66.5k14.7k

• mattzheng/KwaiSurvival-Test-Demo

  2021/7/9测试KwaiSurvival的实验代码

  Language:Python111

• vveitch/causality-tutorials

  Short tutorials on the use of machine learning methods for causal inference

  Language:Jupyter Notebook496

• xieliaing/CausalInferenceIntro

  Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure

  Language:Jupyter Notebook690129

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.8k492

• MasaAsami/pysynthdid

  Synthetic difference in differences for Python

  Language:Jupyter Notebook7126