jluo41's Stars
toeverything/AFFiNE
There can be more than Notion and Miro. AFFiNE(pronounced [ə‘fain]) is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.
zijie0/HumanSystemOptimization
健康学习到150岁 - 人体系统调优不完全指南
skorch-dev/skorch
A scikit-learn compatible neural network library that wraps PyTorch
py-why/EconML
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
commonsense/conceptnet5
Code for building ConceptNet from raw data.
reiinakano/scikit-plot
An intuitive library to add plotting functionality to scikit-learn objects.
jalammar/ecco
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).
youngfish42/Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
yandex-research/rtdl
Research on Tabular Deep Learning: Papers & Packages
havakv/pycox
Survival analysis with PyTorch
xwying/torchshow
Visualize PyTorch tensors with a single line of code.
susanathey/causalTree
Working repository for Causal Tree and extensions
MannLabs/CKG
Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported from diverse biomedical databases 2) automate knowledge discovery making use of all the information contained in the graph
bcallaway11/did
Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did
zhijing-jin/NLP4SocialGood_Papers
A reading list of up-to-date papers on NLP for Social Good.
benmiroglio/pymatch
e-hulten/july
A small library for creating pretty heatmaps of daily data.
joshlk/k-means-constrained
K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained
edunford/tidysynth
A tidy implementation of the synthetic control method in R
joshy/striprtf
Stripping rtf to plain old text
pedrohcgs/DRDID
Doubly Robust Difference-in-Differences Estimators
edgeslab/CTL
A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
YouTaoBaBa/Chinese-Dialogue-Dataset
用于汇总目前的开源中文对话数据集
almost-matching-exactly/DAME-FLAME-Python-Package
A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
callmespring/CausalRL
Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)
DocketAlarm/pacer-api
Python API for Docket Alarm
sammdot/rtfcre
Python library for Rich Text Format with Court Reporting Extensions (RTF/CRE) dictionaries
kpzhang/ImageEmotionDetection
Emotion Detection via a Deep Learning Framework
CHIDS-UMD/PhysicianReview
This repository is for data and codes for paper @JAMA-IM 2022 Receny of Online Physician Ratings