kfzyqin / Training-Progress-Email-NotifierLinks
This software automatically sends you emails to notify you of the latest progress of your deep learning programs.
☆20Updated 3 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:
- ☆34Updated 3 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆92Updated 4 years ago
- ☆44Updated 4 years ago
- LV-BERT: Exploiting Layer Variety for BERT (Findings of ACL 2021)☆18Updated 2 years ago
- LieTransformer: Equivariant Self-Attention for Lie Groups☆72Updated 11 months ago
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 3 years ago
- Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.☆22Updated 2 years ago
- Backpropagation-Friendly-Eigendecomposition☆73Updated 5 years ago
- Meta Optimal Transport☆103Updated 2 years ago
- Authors implementation of LieTransformer: Equivariant Self-Attention for Lie Groups☆36Updated 4 years ago
- The repository includes evidence that a published paper in TKDE shares surprisingly high similarity to our paper.☆32Updated 2 years ago
- (Batched) advanced indexing for PyTorch.☆53Updated 6 months ago
- ☆41Updated 2 years ago
- Code repository for the paper "Group Equivariant Stand-Alone Self Attention For Vision" published at ICLR 2021. https://openreview.net/fo…☆29Updated 4 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆92Updated 6 years ago
- SimCLR pytorch implementation using DistributedDataParallel.☆24Updated 2 years ago
- LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH☆79Updated last year
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆45Updated 2 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- ICME2022 Special Session “Beyond Accuracy: Responsible, Responsive, and Robust Multimedia Retrieval ”☆12Updated last year
- Multiscale de-noising score matching☆20Updated 4 years ago
- A pytorch implementation of Information Bottleneck GAN☆28Updated 6 years ago
- Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"☆60Updated 11 months ago
- ☆36Updated 4 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- ☆39Updated 4 years ago
- ☆42Updated 4 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆52Updated 2 years ago
- PyTorch Extension Library of Optimized Unique Operation☆37Updated 6 years ago