bomri / code-for-postsLinks
code scripts for blog posts I published
☆13Updated 5 years ago
Alternatives and similar repositories for code-for-posts
Users that are interested in code-for-posts are comparing it to the libraries listed below
Sorting:
- Unsupervised Data Augmentation experiments in PyTorch☆60Updated 5 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆61Updated 11 months ago
- ☆52Updated 4 years ago
- tunz's CUDA pytorch operator (MaskedSoftmax)☆75Updated 6 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- SSL using PyTorch☆49Updated 5 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- Implementation of the retriever distillation procedure as outlined in the paper "Distilling Knowledge from Reader to Retriever"☆32Updated 4 years ago
- The implementation of multi-branch attentive Transformer (MAT).☆33Updated 4 years ago
- Awesome papers in few-shot learning/one-shot learning.☆30Updated 6 years ago
- A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"☆25Updated 4 years ago
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆36Updated 8 years ago
- Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"☆41Updated 6 years ago
- Weighted Focal Loss for multilabel classification☆55Updated 6 years ago
- A Toolkit for Training, Tracking, Saving Models and Syncing Results☆61Updated 5 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- For visual commonsense model☆34Updated 6 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- Bootstrapping loss function implementation in pytorch☆36Updated 4 years ago
- ☆23Updated 4 years ago
- ☆24Updated 4 years ago
- RAdam optimizer for keras☆71Updated 5 years ago
- ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch☆39Updated 5 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 6 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆109Updated 4 years ago
- Code and dataset for "Transfer Learning Between Related Tasks Using Expected Label Proportions"☆16Updated 5 years ago
- Curated Lists for graph neural network, graph convolutional network, graph attention network, etc.☆27Updated 6 years ago
- PyTorch implementation of "EfficientNet", ICML 2019☆45Updated 6 years ago
- tf2.0 implementation of circle loss☆32Updated 5 years ago
- PyTorch Capsule Layer☆31Updated 5 years ago