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 6 years ago
- A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"☆25Updated 4 years ago
- ☆52Updated 4 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆61Updated last year
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- ☆34Updated 6 years ago
- List of papers that applied graph network to NLP☆13Updated 6 years ago
- tunz's CUDA pytorch operator (MaskedSoftmax)☆75Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- Awesome papers in few-shot learning/one-shot learning.☆30Updated 6 years ago
- Bootstrapping loss function implementation in pytorch☆36Updated 4 years ago
- An unofficial PyTorch implementation of the HAN and AdaHAN models presented in the "Learning Visual Question Answering by Bootstrapping H…☆54Updated 6 years ago
- Source code for "Training Generative Adversarial Networks Via Turing Test".☆13Updated 5 years ago
- NeurIPS 2019 - Learning Data Manipulation for Augmentation and Weighting☆110Updated 4 years ago
- ☆24Updated 4 years ago
- [ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui…☆39Updated 3 years ago
- custom pytorch implementation of MoCo v3☆46Updated 4 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆69Updated 2 years ago
- Sampling Matters in Deep Embedding Learning (ICCV'17)☆16Updated 6 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
- a simple pytorch implement of Multi-Sample Dropout☆57Updated 6 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
- (Batched) advanced indexing for PyTorch.☆53Updated 8 months ago
- PyTorch Capsule Layer☆31Updated 5 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- Curriculum Learning related papers and materials☆54Updated 4 years ago
- A python package for visualization and storage management in a pytorch AI task.☆54Updated last year
- PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]☆36Updated 8 years ago