stephlee3's Stars
shap/shap
A game theoretic approach to explain the output of any machine learning model.
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package
chiphuyen/dmls-book
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
PacktPublishing/The-Kaggle-Book
Code Repository for The Kaggle Book, Published by Packt Publishing
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
scikit-learn-contrib/metric-learn
Metric learning algorithms in Python
BlakeRMills/MetBrewer
Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
mahmoodlab/CLAM
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
PaddlePaddle/PaddleHelix
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
AMLab-Amsterdam/AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
aangelopoulos/conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
dashidhy/algorithm-pattern-python
Python version of algorithm-pattern
yli188/WorldQuant_alpha101_code
Code implementation of the Quantigic 101 Formulaic Alphas
MarioniLab/miloR
R package implementation of Milo for testing for differential abundance in KNN graphs
stuart-lab/signac
R toolkit for the analysis of single-cell chromatin data
immunomind/immunarch
🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
biobakery/Maaslin2
MaAsLin2: Microbiome Multivariate Association with Linear Models
ttgump/scDeepCluster
scDeepCluster for Single Cell RNA-seq data
nicholashestand/Active_Portfolio_Management
Solutions to Active Portfolio Management (Second Edition) by Grinold and Kahn
Winnie09/Lamian
yijuanhu/LDM-Archive
Linear Decomposition Model
ChengxiangQiu/JAX_code
The scripts used for analyzing JAX mouse dataset
wdl2459/ZINQ-v2
Powerful and robust non-parametric association testing for microbiome data via a zero-inflated quantile approach
byzhang23/TreeCorTreat
TreeCorTreat