hugogobato

hugogobato's Stars

• JingyuHe/XBART

  Language:C++8424

• blent-ai/ALEPython

  Python Accumulated Local Effects package

  Language:Python15442

• JonathanCrabbe/Symbolic-Pursuit

  Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"

  Language:Jupyter Notebook158

• tqchen/ML-SGHMC

  Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

  Language:C++10537

• cipriancorneanu/dnn-topology

  Computing topological cavities of deep neural networks

  Language:Python6410

• Himanshu-S-Agrawal/DeepSigmodel

  Using deep signature model for forecastnig stock returns

  Language:Python1

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript11.2k40.4k

• vanderschaarlab/synthcity

  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

  Language:Python39951

• wjmaddox/swa_gaussian

  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"

  Language:Jupyter Notebook43481

• alshedivat/keras-gp

  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

  Language:Python24454

• pytorch/botorch

  Bayesian optimization in PyTorch

  Language:Jupyter Notebook3k383

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.8k302

• d909b/perfect_match

  ➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.

  Language:Python11920

• AliciaCurth/CATENets

  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

  Language:Python11621

• arnaud39/TARNet

  TARNet Model with tensorflow 2 API.

  Language:Python82

• ebprado/BCF-discussion-paper

  R scripts to run the simulation results of the discussion paper "Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects" (Hahn et al, 2020)

  Language:R1

• StochasticTree/stochtree

  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

  Language:C++83

• shenyangHuang/TGB

  Temporal Graph Benchmark project repo

  Language:Python16631

• mstollenwerk/dpc_caw

  DPC-CAW Model for Time Series of Realized Covariance Matrices

  Language:MATLAB2

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.2k725

• julialadeiraferreira/Autometrics

  Recursive autometrics - time series application,

  Language:R1

• LechGrzelak/Computational-Finance-Course

  Here you will find materials for the course of Computational Finance

  Language:Python340126