☆19Nov 22, 2022Updated 3 years ago
Alternatives and similar repositories for workshops
Users that are interested in workshops are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Jun 2, 2021Updated 4 years ago
- Data Science: Principles and Practice, 2019-20☆11Nov 25, 2019Updated 6 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆12Jun 12, 2017Updated 8 years ago
- Clean repository for the Cambridge COVID-19 ICU simulation☆12Mar 29, 2020Updated 6 years ago
- Getting Started with Git and GitHub for R Users☆11Oct 29, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes (NeurIPS 2021)☆12Nov 30, 2021Updated 4 years ago
- A Zola theme for hosting summary posts about academic papers☆22Apr 17, 2026Updated last month
- nyhackr website written using RMarkdown☆10Updated this week
- ICDSS Machine Learning Workshop Series: Neural Networks☆17Nov 28, 2017Updated 8 years ago
- Non-contact heart rate estimation from video, also known as remote photoplethysmography (rPPG) in the literature.☆17Aug 13, 2020Updated 5 years ago
- Reusable neuroimaging pipelines using nipype☆17May 28, 2019Updated 7 years ago
- On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks☆18Apr 8, 2024Updated 2 years ago
- The first chapters of an online textbook to support the 3F8 Inference course.☆20Jan 2, 2019Updated 7 years ago
- Paper Repository☆12Sep 6, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Slides for the "We'll git there, slowly but surely" talk at SIGCSE 2018☆14Feb 22, 2018Updated 8 years ago
- [RA-L25/ICRA26] HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking☆41Dec 17, 2025Updated 5 months ago
- GNN with summarization/grouping layer for speed and interpretability☆15Feb 21, 2021Updated 5 years ago
- ☆16Jan 8, 2022Updated 4 years ago
- Heteroscedastic Bayesian Optimisation in Numpy☆24Feb 15, 2023Updated 3 years ago
- Scripts utilizing Heartex platform to build brand sentiment analysis from the news☆21Jul 6, 2022Updated 3 years ago
- The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk…☆29Jan 5, 2022Updated 4 years ago
- ☆32Aug 22, 2020Updated 5 years ago
- Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates☆26Sep 11, 2023Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Multilingual emotion analysis research☆21Apr 8, 2024Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Mar 15, 2021Updated 5 years ago
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)☆27Jun 9, 2022Updated 3 years ago
- Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.☆34Jun 17, 2024Updated last year
- Hands on Programming with R (https://jjallaire.github.io/hopr)☆20Jan 18, 2023Updated 3 years ago
- Notes from NeurIPS 2019☆29Dec 17, 2019Updated 6 years ago
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Nov 19, 2018Updated 7 years ago
- Library for training Gaussian Processes on Molecules☆36Jan 28, 2022Updated 4 years ago
- Modelling and machine learning: the foundations of data science☆31Nov 19, 2025Updated 6 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Slides and materials for the "Start with Data Science as an Introduction to Statistical Thinking" invited session at SDSS 2018☆23May 17, 2018Updated 8 years ago
- [ICLR 2025] ACES: Automatic Cohort Extraction System for Event-Streams☆44May 5, 2026Updated 3 weeks ago
- Official code for paper: INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving☆40Dec 12, 2022Updated 3 years ago
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Aug 25, 2023Updated 2 years ago
- WIP: Python port of Kilosort2☆50Jul 8, 2023Updated 2 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Jan 14, 2022Updated 4 years ago
- Code used in the lifespan brainchart project☆39Oct 11, 2022Updated 3 years ago