thisisreallife's Stars
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
bayesian-optimization/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
crownpku/Awesome-Chinese-NLP
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
rfordatascience/tidytuesday
Official repo for the #tidytuesday project
kmikiy/SpotMenu
Spotify and iTunes in your menu bar
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
dreamquark-ai/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
next-theme/hexo-theme-next
🎉 Elegant and powerful theme for Hexo.
toddwschneider/nyc-taxi-data
Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database
datawhalechina/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。
Phlya/adjustText
A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
vacanza/python-holidays
Generate and work with holidays in Python
qiaoguan/deep-ctr-prediction
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
zhaogaofeng611/TextMatch
基于Pytorch的，中文语义相似度匹配模型（ABCNN、Albert、Bert、BIMPM、DecomposableAttention、DistilBert、ESIM、RE2、Roberta、SiaGRU、XlNet）
rstudio/rmarkdown-book
R Markdown: The Definitive Guide (published by Chapman & Hall/CRC in July 2018)
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
Sophia-11/DeepLearningNotes
《深度学习》花书手推笔记
DataForScience/Causality
OscarEngelbrektson/SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
ebenmichael/augsynth
Augmented Synthetic Control Method
kellty/multiSTAT
Applied Multivariate Statistical Analysis | PKU 2019 Fall
XiangyunHuang/notesdown
:book: R 语言学习笔记：数据操作、统计图形和数值优化
ckjellson/textalloc
Allocates text labels in matplotlib
jneuer/pearl-primer
Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*
kailiang-zhong/DESCN
Implementation of paper DESCN, which is accepted in SIGKDD 2022.
jgamper/experimentation-resources
A collection of experimentation papers/books/articles that I found useful :smile:
JedidiMohamed/Second-place-solution-Womxn-in-Big_Data_South_Africa
DevMachTech/10th-place-solution-to-Zindi-Africa-Women-in-Data-Science-Competition
To build a predictive model that accurately estimates the % of households per ward that are female-headed and living below a particular income threshold by using data points that can be collected through other means without an intensive household survey like the census. This solution can potentially reduce the cost and improve the accuracy of monitoring key population indicators such as female household headship and income level in between census years.