pdebartol / aml-lecture-notesLinks
Advanced Machine Learning course at ETH Zürich Fall 2020
☆10Updated 3 years ago
Alternatives and similar repositories for aml-lecture-notes
Users that are interested in aml-lecture-notes are comparing it to the libraries listed below
Sorting:
- My lecture notes for Advance Machine Learning 2020 at ETH Zurich.☆32Updated 4 years ago
 - My solutions for the ETH Algorithms Lab 2020☆36Updated 4 years ago
 - Cheatsheet for Advanced Machine Learning exam @ ETH Zürich, 2018-2019.☆11Updated 6 years ago
 - Solutions for problems given in ETH course Algorithms Lab in Fall 2020☆65Updated 2 years ago
 - A curated list of awesome neural radiance fields for dynamic scenes☆63Updated last year
 - Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Emb…☆242Updated 5 years ago
 - Simple code for generating a color-coded latex table from raw data☆208Updated 5 months ago
 - Official code for "Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling" (CVPR 2023)☆18Updated last year
 - Simple and intuitive implementation of DeepSDF that you can install with a single line of code.☆101Updated last year
 - Port of cp_kdtree to pytorch☆57Updated 8 months ago
 - CVPR2025 - EnvPoser: Environment-aware Realistic Human Motion Estimation from Sparse Observations with Uncertainty Modeling☆16Updated 5 months ago
 - Deep Declarative Networks☆250Updated 2 weeks ago
 - Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆864Updated 5 months ago
 - Fast k-Nearest Neighbour Search using Dynamic Continuous Indexing (DCI)☆25Updated last year
 - A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond☆1,026Updated 8 months ago
 - Volume Rendering, Neural Radiance Fields, Neural Surfaces☆25Updated last week
 - Newton and Quasi-Newton optimization with PyTorch☆368Updated 5 months ago
 - ☆803Updated 5 months ago
 - Learning with 3D rotations, a hitchhiker’s guide to SO(3) - ICML 2024☆254Updated 3 months ago
 - Personal notes for Computational Intelligence Lab (CIL) 2020 by Prof. Thomas Hofmann at ETH Zurich☆50Updated 5 years ago
 - Geometric kernels on manifolds, meshes and graphs☆274Updated last week
 - Bayesian filters in PyTorch☆158Updated 2 years ago
 - Rendering Basics with PyTorch3D☆50Updated 8 months ago
 - ☆12Updated 8 months ago
 - CamTools: Camera Tools for Computer Vision☆199Updated 8 months ago
 - ☆258Updated 5 months ago
 - Octree-based 3D Convolutional Neural Networks [SIGGRAPH 2017]☆224Updated this week
 - ☆54Updated 2 months ago
 - A 100x faster SVD for PyTorch⚡️☆483Updated 3 years ago
 - [ECCV'24] FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information☆171Updated 5 months ago