oval-group / smooth-topkLinks
Smooth Loss Functions for Deep Top-k Classification
☆259Updated 4 years ago
Alternatives and similar repositories for smooth-topk
Users that are interested in smooth-topk are comparing it to the libraries listed below
Sorting:
- Implements the unsupervised pre-training of convolutional neural networks☆254Updated 4 years ago
- Utilities for Pytorch☆88Updated 3 years ago
- Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)☆148Updated 3 years ago
- Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)☆108Updated 7 years ago
- Pretrained bag-of-local-features neural networks☆315Updated 6 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆85Updated 7 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Pytorch Implementation of recent visual attribution methods for model interpretability☆146Updated 5 years ago
- [NO MAINTENANCE INTENDED] A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".☆168Updated 6 years ago
- Semi-supervised ImageNet1K models☆246Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- A simpler version of the self-attention layer from SAGAN, and some image classification results.☆214Updated 6 years ago
- ☆165Updated 7 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆219Updated last year
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- Implementations of ideas from recent papers☆392Updated 5 years ago
- Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyT…☆225Updated 5 years ago
- Principled Detection of Out-of-Distribution Examples in Neural Networks☆202Updated 8 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆189Updated 6 years ago
- Pytorch Implementation of the paper MixMatch: A Holistic Approach to Semi-Supervised Learning (https://arxiv.org/pdf/1905.02249.pdf)☆123Updated 6 years ago
- Experiments with Adam/AdamW/amsgrad☆201Updated 7 years ago
- Complementary code for the Targeted Dropout paper☆255Updated 6 years ago
- CNN training code for iNaturalist 2018 image classification competition☆86Updated 2 years ago
- ☆71Updated 6 years ago
- A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)☆272Updated 5 years ago
- ☆353Updated 5 years ago
- PyTorch implementation of Interpretable Explanations of Black Boxes by Meaningful Perturbation☆338Updated 4 years ago
- Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)☆188Updated 8 years ago
- Supervised NN for pre-training. with group normalization and weight standardization☆30Updated 5 years ago