eddieschoute / dissertation-template-umdLinks
A template for University of Maryland dissertations
☆27Updated last year
Alternatives and similar repositories for dissertation-template-umd
Users that are interested in dissertation-template-umd are comparing it to the libraries listed below
Sorting:
- Folklore facts on probability distribution learning, testing, and whatever-ing☆264Updated 5 months ago
- A little Python script to collect LaTeX sources for upload to the arXiv.☆362Updated last month
- This is a Pytorch implementation of [normalizing flows on tori and spheres, ICML 2020]☆16Updated 2 years ago
- Squared Non-monotonic Probabilistic Circuits☆22Updated 6 months ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 8 months ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 5 years ago
- Preconditioned Conjugate Gradient in Pytorch☆140Updated last year
- Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function☆498Updated 2 years ago
- Convex potential flows☆83Updated 3 years ago
- ☆158Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆287Updated 4 years ago
- PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"☆38Updated last year
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆234Updated 4 years ago
- ☆156Updated 2 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆150Updated last year
- Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression…☆98Updated 5 years ago
- Regularized Neural ODEs (RNODE)☆84Updated 4 years ago
- Optimization with orthogonal constraints and on general manifolds☆129Updated 5 years ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Sketched matrix decompositions for PyTorch☆70Updated this week
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- Interpolation routines in Pytorch.☆110Updated 4 years ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆95Updated 4 years ago
- ☆275Updated 2 years ago
- Newton and Quasi-Newton optimization with PyTorch☆357Updated 2 months ago
- A sparse KLU solver for PyTorch.☆65Updated 3 years ago
- ☆321Updated 2 years ago