Congjian Wang - INL's repositories
alibi
Algorithms for explaining machine learning models
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
Ax
Adaptive Experimentation Platform
BayCal
Bayesian Model Calibration (BayCal) toolkit is a software plugin for Risk Analysis Virtual Environment (RAVEN) framework, arming at inversely quantifying the uncertainties associated with simulation model parameters based on available experiment data.
cardinal
High-Fidelity Multiphysics
causal-learn
Causal Discovery in Python. Translation and extension of the Tetrad Java code.
chemnlp
ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data
CORE
Codebase for the paper: "CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning"
dagma
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
deeptime
Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation
dibs
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
dodiscover
[Experimental] Global causal discovery algorithms
Following-Motif-Relation
Given two time series, with one containing a motif that leads the motif pattern in the other, our goal is to identify which time series leads or follows, and to predict the motif-following time steps in both series.
gsn2x
Tool to create graphical representations of Goal Structuring Notations from YAML.
HEBO
Bayesian optimisation & Reinforcement Learning library developped by Huawei Noah's Ark Lab
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
neuraloperator
Learning in infinite dimension with neural operators.
nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
Phoenix
wxPython's Project Phoenix. A new implementation of wxPython, better, stronger, faster than he was before.
PrettyErrors
Prettify Python exception output to make it legible.
py-tetrad
Makes algorithms/code in Tetrad available in Python via JPype
pysindy
A package for the sparse identification of nonlinear dynamical systems from data
pyspellchecker
Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/
SCAMP
The fastest way to compute matrix profiles on CPU and GPU!
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
trustworthyAI
Trustworthy AI related projects
UNN
Causal Neural Nerwork