renero's Stars
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
FenTechSolutions/CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
akelleh/causality
Tools for causal analysis
huawei-noah/trustworthyAI
Trustworthy AI related projects
xunzheng/notears
DAGs with NO TEARS: Continuous Optimization for Structure Learning
KevinMusgrave/pytorch-adapt
Domain adaptation made easy. Fully featured, modular, and customizable.
paulbrodersen/entropy_estimators
Estimators for the entropy and other information theoretic quantities of continuous distributions
eminorhan/mixture-of-experts
Mixture of experts layers for Keras
IBM-HRL-MLHLS/IBM-Causal-Inference-Benchmarking-Framework
Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
mle-infrastructure/mle-logging
Lightweight ML Experiment Logging 📖
amber0309/HSIC
Python code of Hilbert-Schmidt Independence Criterion
machinelearningnuremberg/WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
oxcsml/kerpy
python code for kernel methods
kjchalup/fcit
A decision-tree based conditional independence test.
yiftachbeer/mmd_loss_pytorch
An implementation of Maximum Mean Discrepancy (MMD) as a differentiable loss in PyTorch.
cl-tohoku/phsic
Compute co-occurrence strength between sentences with short learning time
MKurthen/BayesianCausalInference
Master's thesis project. A causal inference algorithm based on Information Field Theory