stanford-futuredata / pytorch-distributedLinks
Fork of diux-dev/imagenet18
☆16Updated 7 years ago
Alternatives and similar repositories for pytorch-distributed
Users that are interested in pytorch-distributed are comparing it to the libraries listed below
Sorting:
- (Batched) advanced indexing for PyTorch.☆53Updated last year
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 4 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'☆17Updated 4 years ago
- A supplementary code for Editable Neural Networks, an ICLR 2020 submission.☆46Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 5 years ago
- ☆25Updated 5 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Updated 6 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- The official implementation of You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Natu…☆48Updated 4 years ago
- Implementation for NATv2.☆23Updated 4 years ago
- Directed masked autoencoders☆14Updated this week
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- ICLR 2021 Stats & Graphs☆31Updated 3 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 7 years ago
- ☆13Updated 4 years ago
- An adaptive training algorithm for residual network☆17Updated 5 years ago
- ☆42Updated 2 years ago
- SelectiveBackprop accelerates training by dynamically prioritizing useful examples with high loss☆32Updated 5 years ago
- Implementation of Kronecker Attention in Pytorch☆19Updated 5 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆19Updated 5 years ago
- Reproducible code for Augmentation paper☆17Updated 6 years ago
- This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron …☆33Updated 2 years ago
- ☆47Updated 5 years ago
- Code for SegTree Transformer (ICLR-RLGM 2019).☆27Updated 6 years ago
- Reparameterize your PyTorch modules☆71Updated 5 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated last year
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Updated 5 years ago