manuelgr

manuelgr's Stars

• nikikilbertus/fairensics

  :mag: A python library to discover and mitigate biases in machine learning models and datasets :mag:

  Language:Python203

• fasiha/memorize-py

  Pure-Python library implementing the Memorize algorithm for flashcard quiz scheduling

  Language:Python82

• Networks-Learning/spaced-selection

  Code and real data for "Large-scale randomized experiment reveals machine learning helps people learn and remember more effectively", npj Science of Learning 2021

  Language:Jupyter Notebook326

• Networks-Learning/jetbrains-seminar-2019

  JetBrains seminar on learning with temporal point process

  Language:Jupyter Notebook3

• musically-ut/tf_rmtpp

  Recurrent Marked Temporal Point Processes

  Language:Python5616

• Networks-Learning/tf_rmtpp

  Recurrent Marked Temporal Point Processes

  Language:Python1

• Networks-Learning/curb

  Code for "An Online Algorithm to Reduce the Spread of Misinformation in Social Networks", WSDM 2018

  Language:Jupyter Notebook278

• Networks-Learning/netrate

  Netrate Matlab/CVX

  Language:Objective-C105

• mbilalzafar/fair-classification

  Python code for training fair logistic regression classifiers.

  Language:Python18971

• Networks-Learning/nevae

  Code and data for "NeVAE: A Deep Generative Model for Molecular Graphs", AAAI 2019

  Language:Python5414

• Networks-Learning/RedQueen

  Code for "RedQueen: An Online Algorithm for Smart Broadcasting on Social Networks", WSDM 2017

  Language:Jupyter Notebook218

• Networks-Learning/FairHumanDecisions

  Code and data for "Enhancing the Accuracy and Fairness of Human Decision Making", NeurIPS 2018

  Language:Python41

• Networks-Learning/tpprl

  Code and data for "Deep Reinforcement Learning of Marked Temporal Point Processes", NeurIPS 2018

  Language:Python7718

• Networks-Learning/disease-control

  Code and data for "Stochastic Optimal Control of Epidemic Processes in Networks", ML4H at NeurIPS 2018

  Language:Jupyter Notebook124

• Networks-Learning/hdhp.py

  Code for "Hierarchical Dirichlet-Hawkes process: generative model and inference algorithm", WWW 2017

  Language:Python3612

• Networks-Learning/discussion-complexity

  Code for "On the Complexity of Opinions and Online Discussions", WSDM 2019

  Language:Python124

• desmarais-lab/NetworkInference

  R implementation to the netinf algorithm. Infers the most likely diffusion network from a set of events

  Language:R231