Imperial-College-Data-Science-Society / workshopsLinks
☆19Updated 2 years ago
Alternatives and similar repositories for workshops
Users that are interested in workshops are comparing it to the libraries listed below
Sorting:
- Parametric and non-parametric conditional independence testing.☆10Updated 4 years ago
- ICDSS Advanced Data Science Team Challenges 2020-2021☆14Updated 2 years ago
- Social Network Analysis and STEM Education is designed to prepare researchers to apply network analysis in order to better understand and…☆14Updated 2 weeks ago
- Code used in the causality course (401-4632-15) at ETH Zurich.☆22Updated 6 years ago
- Contains all materials for the paper "A counterfactual simulation model of causal judgment".☆24Updated 3 years ago
- ☆14Updated 2 years ago
- ICDSS Machine Learning Workshop Series: Neural Networks☆17Updated 7 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Updated 3 years ago
- Welcome to the course page of course 8.3304 "Implementing ANNs with TensorFlow". On this page you will find all relevant information and …☆9Updated 5 years ago
- ICDSS Machine Learning Workshop Series: Machine Learning APIs☆9Updated 7 years ago
- Conceptual & empirical comparisons between decision forests & deep networks☆18Updated 3 weeks ago
- notebooks, quizes, exams and labs for nyu psychology lab courses☆19Updated 7 months ago
- Curated list of resources for various topics, articles, tutorials, etc I've found useful.☆19Updated 2 years ago
- ☆14Updated 4 years ago
- Materials for the 2023 SOCIAL COMQUANT "Introduction to CSS Methods with Python"☆15Updated last month
- Materials for workshop on "Using bibliometric data in demographic research". A report here: https://iussp.org/en/using-bibliometric-data-…☆11Updated 11 months ago
- This code is useful to do scientometric analysis☆9Updated 3 years ago
- This is the Github repo for the field of Statistical Machine Learning. I set this up as my personal blog for future generations and for a…☆5Updated 4 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- Replication data and code for "Prestige drives epistemic inequality in the diffusion of scientific ideas"☆14Updated 6 years ago
- Google Chrome extension to help normalize the search results and transparency of grey literature searches.☆11Updated 5 years ago
- Using Git to Code, Collaborate and Share☆13Updated 8 months ago
- This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (partic…☆18Updated 9 months ago
- Introduction to Machine Learning at CentraleSupelec (Fall 2017)☆10Updated 7 years ago
- Analyzing Complex Networks with Python☆10Updated 2 years ago
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 9 months ago
- Duke Machine Learning Winter School 2019☆27Updated 6 years ago
- Minimax Estimation of Conditional Moment Models☆30Updated 2 years ago
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 2 years ago