Ugenteraan / Deep_Hierarchical_ClassificationLinks
PyTorch Implementation of Deep Hierarchical Classification for Category Prediction in E-commerce System
☆97Updated 3 years ago
Alternatives and similar repositories for Deep_Hierarchical_Classification
Users that are interested in Deep_Hierarchical_Classification are comparing it to the libraries listed below
Sorting:
- Experiments with supervised contrastive learning methods with different loss functions☆223Updated 3 years ago
- An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.☆239Updated last year
- A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approa…☆98Updated 3 years ago
- Simple pytorch implementation of focal loss☆86Updated 2 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆235Updated 2 years ago
- This repo contains the dataset and description for Ruddit and its variants.☆36Updated 3 years ago
- Adapted Triplet loss based metric learning to learn a metric for multilabel points, such that samples with maximum overlap in label s…☆38Updated 5 years ago
- ☆64Updated 5 years ago
- Implementation of self-supervised image-level contrastive pretraining methods using Keras.☆70Updated 4 years ago
- Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond☆85Updated 5 years ago
- Early solution for Google AI4Code competition☆76Updated 3 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆133Updated 4 years ago
- Supervised Multimodal Bitransformers for Classifying Images and Text☆256Updated 4 years ago
- ☆51Updated 5 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆91Updated last year
- Implementation of Mixout with PyTorch☆75Updated 2 years ago
- Implementation of Supervised Contrastive Learning with AMP, EMA, SWA, and many other tricks☆169Updated 3 years ago
- pytorch； mask language model ； bert☆72Updated 6 years ago
- A lightweight module for Multi-Task Learning in pytorch.☆168Updated 2 years ago
- ☆34Updated 2 years ago
- Baseline model for multimodal classification based on images and text. Text representation obtained from pretrained BERT base model and i…☆42Updated 3 years ago
- Code for paper: "Coherent Hierarchical Multi-Label Classification Networks"☆89Updated 2 years ago
- Minimalist implementation of a BERT Sentence Classifier with PyTorch Lightning, Transformers and PyTorch-NLP.☆219Updated 2 years ago
- Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"☆296Updated 3 years ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆206Updated 3 years ago
- PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.☆62Updated 3 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆133Updated 3 years ago
- Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from hu…☆43Updated 4 years ago
- PyTorch samplers that output roughly balanced batches with support for multilabel datasets☆57Updated last year
- ☆81Updated 4 years ago