Alternatives and similar repositories for Deep_Hierarchical_Classification:

Users that are interested in Deep_Hierarchical_Classification are comparing it to the libraries listed below

• QData / LaMP
  ECML 2019: Graph Neural Networks for Multi-Label Classification
  ☆90Updated 5 months ago
• wangz10 / contrastive_loss
  Experiments with supervised contrastive learning methods with different loss functions
  ☆218Updated 2 years ago
• CVxTz / recommender_transformer
  ☆83Updated 3 years ago
• Roche / BalancedLossNLP
  ☆127Updated last year
• wilile26811249 / Fastformer-PyTorch
  Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."
  ☆134Updated 3 years ago
• beresandras / contrastive-classification-keras
  Implementation of self-supervised image-level contrastive pretraining methods using Keras.
  ☆69Updated 3 years ago
• Danielhuxc / CLRP-solution
  ☆27Updated 3 years ago
• biplob1ly / TransICD
  Transformer based ICD Coding model
  ☆17Updated 3 years ago
• shahrukhx01 / multitask-learning-transformers
  A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approa…
  ☆91Updated 2 years ago
• AdamStein97 / Semi-Supervised-BERT-NER
  ☆33Updated last year
• mathiaszinnen / focal_loss_torch
  Simple pytorch implementation of focal loss
  ☆84Updated last year
• rohitsingh02 / kaggle-feedback-english-language-learning-1st-place-solution
  Feedback Prize - English Language Learning: 1st place solution code
  ☆55Updated last year
• NadirEM / nlp-notebooks
  ☆19Updated 3 years ago
• lucidrains / electra-pytorch
  A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch
  ☆221Updated last year
• AdeelH / pytorch-multi-class-focal-loss
  An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
  ☆229Updated 11 months ago
• fabrahman / ReBART
  Code for EMNLP 2021 paper: "Is Everything in Order? A Simple Way to Order Sentences"
  ☆41Updated last year
• affjljoo3581 / Feedback-Prize-Competition
  🎖️ 4th place solution in the Feedback Prize Competition🎖️
  ☆73Updated 2 years ago
• heartkilla / kaggle_tweet
  Kaggle Tweet Sentiment Extraction Competition: 1st place solution (Dark of the Moon team)
  ☆70Updated 2 years ago
• fursovia / self-adj-dice
  Implementation of Self-adjusting Dice Loss from "Dice Loss for Data-imbalanced NLP Tasks" paper
  ☆107Updated 4 years ago
• Guzpenha / transformer_rankers
  A library to conduct ranking experiments with transformers.
  ☆161Updated last year
• louis-she / exhaustive-weighted-random-sampler
  The missing distributed weighted random sampler for PyTorch
  ☆24Updated 2 years ago
• kiccho1101 / kaggle-shopee-6th-place-solution
  My 6th🥇 place solution for Kaggle Shopee competition.
  ☆27Updated 2 years ago
• issamemari / pytorch-multilabel-balanced-sampler
  PyTorch samplers that output roughly balanced batches with support for multilabel datasets
  ☆54Updated 9 months ago
• ybabakhin / kaggle-feedback-effectiveness-1st-place-solution
  Winning solution for the Kaggle Feedback Prize Challenge.
  ☆65Updated 2 years ago
• abhilash1910 / ClusterTransformer
  Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from hu…
  ☆43Updated 3 years ago
• archinetai / smart-pytorch
  PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.
  ☆61Updated 2 years ago
• suicao / ai4code-baseline
  Early solution for Google AI4Code competition
  ☆76Updated 2 years ago
• Yorko / bert-finetuning-catalyst
  Code for BERT classifier finetuning for multiclass text classification
  ☆72Updated 2 years ago
• fcakyon / balanced-loss
  Easy to use class balanced cross entropy and focal loss implementation for Pytorch
  ☆92Updated last month
• coastalcph / hierarchical-transformers
  Hierarchical Attention Transformers (HAT)
  ☆46Updated last year