Felix-Petersen / diffsort
Differentiable Sorting Networks
☆110Updated last year
Alternatives and similar repositories for diffsort:
Users that are interested in diffsort are comparing it to the libraries listed below
- ☆98Updated 3 years ago
- Differentiable Algorithms and Algorithmic Supervision.☆112Updated last year
- Stochastic Automatic Differentiation library for PyTorch.☆197Updated 5 months ago
- Reparameterize your PyTorch modules☆70Updated 4 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- Differentiable Top-k Classification Learning☆79Updated 2 years ago
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated 9 months ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆102Updated 3 years ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆257Updated last year
- Framework code with wandb, checkpointing, logging, configs, experimental protocols. Useful for fine-tuning models or training from scratc…☆148Updated 2 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆180Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 2 years ago
- A Machine Learning workflow for Slurm.☆149Updated 4 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆106Updated 2 years ago
- a lightweight transformer library for PyTorch☆71Updated 3 years ago
- Differentiable Optimizers with Perturbations in Pytorch☆64Updated 3 years ago
- Code to reproduce the results for Compositional Attention☆60Updated 2 years ago
- Efficient Householder Transformation in PyTorch☆63Updated 3 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆123Updated 7 months ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆40Updated 2 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆93Updated 2 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆210Updated this week
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 6 months ago
- Structured matrices for compressing neural networks☆66Updated last year
- ☆134Updated 3 years ago
- Benchmark for Lifelong learning research☆118Updated 3 years ago
- 👩 Pytorch and Jax code for the Madam optimiser.☆51Updated 4 years ago
- Cyanure: An Open-Source Toolbox for Empirical Risk Minimization☆64Updated 4 months ago
- Meta Optimal Transport☆98Updated last year