kfzyqin / Training-Progress-Email-NotifierLinks
This software automatically sends you emails to notify you of the latest progress of your deep learning programs.
☆20Updated 4 years ago
Alternatives and similar repositories for Training-Progress-Email-Notifier
Users that are interested in Training-Progress-Email-Notifier are comparing it to the libraries listed below
Sorting:
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆97Updated 4 years ago
- ☆88Updated 2 years ago
- Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.☆53Updated 2 years ago
- Graph neural network message passing reframed as a Transformer with local attention☆70Updated 3 years ago
- Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model …☆106Updated 5 years ago
- The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS 2018 Best Paper.☆83Updated 5 years ago
- Generalized Deep Metric Learning.☆36Updated 3 years ago
- ☆44Updated 5 years ago
- Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers☆88Updated 5 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 5 years ago
- SimCLR pytorch implementation using DistributedDataParallel.☆24Updated 3 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated last year
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆59Updated 4 years ago
- The project is about predicting sets (of classes) from images.☆23Updated 4 years ago
- Backpropagation-Friendly-Eigendecomposition☆73Updated 6 years ago
- Meta Optimal Transport☆106Updated 2 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Updated 5 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆81Updated 2 years ago
- ☆39Updated 5 years ago
- Authors implementation of LieTransformer: Equivariant Self-Attention for Lie Groups☆36Updated 4 years ago
- ☆37Updated 5 years ago
- profile tools for pytorch nn models☆42Updated 5 years ago
- ☆42Updated 2 years ago
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 4 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- ☆17Updated 2 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆93Updated 6 years ago
- [ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"☆15Updated 3 years ago
- Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.☆23Updated 3 years ago