suneman / socialgraphs2019

Related projects ⓘ

Alternatives and complementary repositories for socialgraphs2019

• phlippe / UvA_Summaries
  Summaries of courses in the AI Master programme at UvA
  ☆159Updated 2 years ago
• suneman / socialdataanalysis2019
  This is the repo for the class Social Data Analysis and Visualization at DTU
  ☆6Updated 5 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆827Updated 4 years ago
• logangraham / arXausality
  A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
  ☆414Updated 4 years ago
• p-lambda / wilds
  A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
  ☆552Updated 9 months ago
• socialfoundations / whynot
  A Python sandbox for decision making in dynamics
  ☆418Updated last year
• DeepLearningDTU / 02456-deep-learning-with-PyTorch
  Exercises and supplementary material for the deep learning course 02456 using PyTorch.
  ☆320Updated 3 weeks ago
• SocialComplexityLab / socialgraphs2023
  ☆21Updated last year
• DataForScience / Causality
  ☆464Updated 5 months ago
• causaltext / causal-text-papers
  Curated research at the intersection of causal inference and natural language processing.
  ☆786Updated 9 months ago
• google-research / robustness_metrics
  ☆466Updated 3 months ago
• krasserm / bayesian-machine-learning
  Notebooks about Bayesian methods for machine learning
  ☆1,821Updated 8 months ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆735Updated 3 months ago
• robustness-gym / robustness-gym
  Robustness Gym is an evaluation toolkit for machine learning.
  ☆440Updated 2 years ago
• Kaleidophon / deep-significance
  Enabling easy statistical significance testing for deep neural networks.
  ☆330Updated 4 months ago
• eemlcommunity / PracticalSessions2020
  Repository for tutorial sessions at EEML2020
  ☆271Updated 3 years ago
• suneman / socialdataanalysis2020
  ☆17Updated 4 years ago
• ericmjl / essays-on-data-science
  In which I put together my thoughts on the practice of data science.
  ☆286Updated last year
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆302Updated 4 years ago
• ericmjl / bayesian-analysis-recipes
  A collection of Bayesian data analysis recipes using PyMC3
  ☆554Updated last year
• khipu-ai / practicals-2019
  Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
  ☆245Updated 5 years ago
• suinleelab / path_explain
  A repository for explaining feature attributions and feature interactions in deep neural networks.
  ☆185Updated 2 years ago
• visual-ml-notes / visual-machine-learning-notes
  Machine Learning Conference & Summer School Notes. 🦄
  ☆571Updated 3 years ago
• microsoft / project-azua
  Data Efficient Decision Making
  ☆240Updated 2 years ago
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 3 years ago
• fehiepsi / rethinking-numpyro
  Statistical Rethinking (2nd ed.) with NumPyro
  ☆449Updated 9 months ago
• uclnlp / stat-nlp-book
  Interactive Lecture Notes, Slides and Exercises for Statistical NLP
  ☆269Updated 5 years ago
• djsutherland / arxiv-collector
  A little Python script to collect LaTeX sources for upload to the arXiv.
  ☆332Updated 3 months ago
• facebookresearch / poincare-embeddings
  PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
  ☆1,682Updated 3 months ago
• piEsposito / blitz-bayesian-deep-learning
  A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
  ☆937Updated last year