JayThibs / Weak-Supervised-Learning-Case-StudyLinks
Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text data labelling platform. Approaches: Snorkel and Zero-Shot Learning.
☆22Updated last year
Alternatives and similar repositories for Weak-Supervised-Learning-Case-Study
Users that are interested in Weak-Supervised-Learning-Case-Study are comparing it to the libraries listed below
Sorting:
- Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models…☆37Updated 3 years ago
- Few-shot Named Entity Recognition☆121Updated 3 years ago
- TorchServe+Streamlit for easily serving your HuggingFace NER models☆33Updated 3 years ago
- A monolingual and cross-lingual meta-embedding generation and evaluation framework☆79Updated 3 years ago
- Code for experiments done for EMNLP2020.☆11Updated 3 years ago
- ☆43Updated 2 years ago
- This is the second part of the Deep Learning Course for the Master in High-Performance Computing (SISSA/ICTP).)☆33Updated 5 years ago
- Semantic search using Transformers and others☆110Updated 5 years ago
- ☆40Updated 2 years ago
- KitanaQA: Adversarial training and data augmentation for neural question-answering models☆56Updated 2 years ago
- A Python library aimed at dissecting and augmenting NER training data.☆60Updated 2 years ago
- NLP Examples using the 🤗 libraries☆40Updated 4 years ago
- No Teacher BART distillation experiment for NLI tasks☆28Updated 5 years ago
- Explainable Zero-Shot Topic Extraction☆65Updated last year
- ☆22Updated 3 years ago
- Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging☆69Updated 3 years ago
- A comprehensive tool for linguistic analysis of communities☆49Updated 4 years ago
- ☆59Updated 4 years ago
- A library to synthesize text datasets using Large Language Models (LLM)☆152Updated 3 years ago
- Recon NER, Debug and correct annotated Named Entity Recognition (NER) data for inconsistencies and get insights on improving the quality …☆106Updated last year
- [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
- Topic Inference with Zeroshot models☆61Updated 2 years ago
- A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently…☆108Updated last year
- 🛠️ Tools for Transformers compression using PyTorch Lightning ⚡☆85Updated last week
- An easy-to-use Python module that helps you to extract the BERT embeddings for a large text dataset (Bengali/English) efficiently.☆35Updated 2 years ago
- Collection of NLP model explanations and accompanying analysis tools☆144Updated 2 years ago
- Course for Interpreting ML Models☆52Updated 2 years ago
- ☆15Updated 5 years ago
- State-of-the-art NLP through transformer models in a modular design and consistent APIs.☆47Updated 3 years ago
- Examples for aligning, padding and batching sequence labeling data (NER) for use with pre-trained transformer models☆64Updated 3 years ago