juliengs / mcgill-thesis-templateLinks
☆18Updated last year
Alternatives and similar repositories for mcgill-thesis-template
Users that are interested in mcgill-thesis-template are comparing it to the libraries listed below
Sorting:
- tools and template for latex☆23Updated 2 years ago
- Research of a deep predictive coding model for unsupervised representation learning from video and audio data.☆30Updated 5 years ago
- Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".☆26Updated 4 years ago
- Alignment between clustered datasets via hierarchical Wasserstein distance☆38Updated last year
- Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'☆24Updated 4 years ago
- ☆13Updated 2 years ago
- L1-regularized least squares with PyTorch☆69Updated 2 years ago
- Mixture of Gaussian Processes Model for Sparse Longitudinal Data☆37Updated 2 years ago
- Implementation of the Neural Clustering Process algorithm in Pytorch☆31Updated 5 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆27Updated last year
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago
- SIMPLE: A Gradient Estimator for $k$-subset Sampling☆11Updated 11 months ago
- Official PyTorch implementation of Bispectral Neural Networks, ICLR 2023☆25Updated 4 months ago
- C++/Python Information theoretic analyses tools☆40Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- TARDIS: Topological Algorithms for Robust DIscovery of Singularities☆43Updated last year
- NeuroAI-UW seminar, a regular weekly seminar for the UW community, organized by NeuroAI Shlizerman Lab.☆55Updated last month
- Contrastive Variational Autoencoders☆68Updated 6 years ago
- Self-Supervised Noise Embeddings (Self-SNE)☆158Updated 3 months ago
- Code accompanying paper "Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets."☆27Updated 2 years ago
- Pytorch implementation of the Power Spherical distribution☆74Updated last year
- Tutorials for the book.☆13Updated 3 years ago
- Gene Expression Imputation with Generative Adversarial Imputation Nets☆12Updated 2 years ago
- ☆10Updated 3 years ago
- This repository represents a basic implementation of the paper "Riemannian Geometry of Deep Generative Models", along with the results on…☆12Updated 5 years ago
- Quantify geometric intelligence in natural and artificial brains.☆51Updated last month
- Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".☆28Updated 2 years ago
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆150Updated 3 years ago
- Learning to Learn: Gradient-free Optimization framework☆36Updated 4 years ago
- TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics☆120Updated 11 months ago