erodola / DLAI-s2-2020Links
Teaching material for the course of Deep Learning and Applied AI, 2nd semester 2020, Sapienza University of Rome
☆33Updated 4 years ago
Alternatives and similar repositories for DLAI-s2-2020
Users that are interested in DLAI-s2-2020 are comparing it to the libraries listed below
Sorting:
- Teaching material for the course of Deep Learning and Applied AI, 2nd semester 2021, Sapienza University of Rome☆35Updated 3 years ago
- A PyTorch-based neural implicit geometry toolbox.☆16Updated 2 years ago
- Generic template to bootstrap your Python project.☆20Updated 4 months ago
- BigData: The goal is to be able to create a model capable of predicting the taxi fare in New York.☆9Updated 4 years ago
- ☆11Updated last year
- Teaching material for the course of Computer Graphics, 2st semester 2019, Sapienza University of Rome☆8Updated 5 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- ☆15Updated 4 years ago
- ☆28Updated 2 years ago
- Enabling easy statistical significance testing for deep neural networks.☆336Updated last year
- A Python package for analyzing and transforming neural latent spaces.☆48Updated 2 weeks ago
- Generic template to bootstrap your PyTorch project.☆646Updated last year
- Hands-on tutorials at EEML2022 summer school☆63Updated 3 years ago
- SEML: Slurm Experiment Management Library☆181Updated last month
- This repository contains the official code of the research paper Study on transfer learning capabilities for pneumonia classification in …☆10Updated 3 years ago
- Constrained optimization toolkit for PyTorch☆687Updated 3 years ago
- Code for our NeurIPS 2022 paper☆369Updated 2 years ago
- Data and code for "Nibbling at the Hard Core of Word Sense Disambiguation" (ACL 2022).☆15Updated 3 years ago
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 3 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,107Updated last week
- Riemannian Adaptive Optimization Methods with pytorch optim☆946Updated 3 weeks ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,434Updated 2 months ago
- Geometric loss functions between point clouds, images and volumes☆635Updated 3 months ago
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆179Updated 2 months ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆306Updated 3 weeks ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆480Updated 3 years ago
- Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to lat…☆60Updated 2 years ago
- VAE for color images☆210Updated 3 years ago
- Mediterranean Machine Learning school tutorials☆93Updated 4 years ago
- MinT: Minimal Transformer Library and Tutorials☆256Updated 2 years ago