jonbarron / robust_loss_pytorch
A pytorch port of google-research/google-research/robust_loss/
☆677Updated 3 years ago
Alternatives and similar repositories for robust_loss_pytorch:
Users that are interested in robust_loss_pytorch are comparing it to the libraries listed below
- Official Code for Invertible Residual Networks☆524Updated 7 months ago
- Geometric loss functions between point clouds, images and volumes☆618Updated last year
- PyTorch implementation of Sinusodial Representation networks (SIREN)☆263Updated 2 years ago
- Pytorch implementation of SIREN - Implicit Neural Representations with Periodic Activation Function☆481Updated last year
- [NeurIPS'19] Deep Equilibrium Models☆741Updated 2 years ago
- Approximating Wasserstein distances with PyTorch☆457Updated last year
- Totally Versatile Miscellanea for Pytorch☆470Updated 3 years ago
- Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm☆441Updated 6 years ago
- A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.☆252Updated 4 years ago
- Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"☆1,060Updated 7 months ago
- [NeurIPS'20] Multiscale Deep Equilibrium Models☆233Updated 3 years ago
- [CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.☆606Updated 2 years ago
- Implementing Stand-Alone Self-Attention in Vision Models using Pytorch☆454Updated 5 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆380Updated 2 years ago
- Code snippets created for the PyTorch discussion board☆557Updated 4 years ago
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆426Updated 5 months ago
- An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow☆575Updated 5 months ago
- Fast, differentiable sorting and ranking in PyTorch☆796Updated last year
- Constrained optimization toolkit for PyTorch☆670Updated 3 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆420Updated 2 years ago
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains☆1,295Updated 2 years ago
- Implements https://arxiv.org/abs/1711.05101 AdamW optimizer, cosine learning rate scheduler and "Cyclical Learning Rates for Training Neu…☆149Updated 5 years ago
- PyTorch Boilerplate For Research☆609Updated 3 years ago
- Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute☆1,531Updated 4 years ago
- Implementation for the Lookahead Optimizer.☆240Updated 2 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆618Updated 2 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,610Updated 2 years ago
- My best practice of training large dataset using PyTorch.☆1,092Updated 10 months ago
- Pytorch library for fast transformer implementations☆1,687Updated 2 years ago
- Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows☆615Updated 3 years ago