amaiya / ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
β1,253Updated last month
Alternatives and similar repositories for ktrain:
Users that are interested in ktrain are comparing it to the libraries listed below
- πΈ Use pretrained transformers like BERT, XLNet and GPT-2 in spaCyβ1,366Updated last month
- Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.β1,750Updated last year
- Super easy library for BERT based NLP modelsβ1,886Updated 6 months ago
- Top2Vec learns jointly embedded topic, document and word vectors.β3,008Updated 3 months ago
- A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherβ¦β1,222Updated last month
- Toolkit to help understand "what lies" in word embeddings. Also benchmarking!β473Updated 2 years ago
- skweak: A software toolkit for weak supervision applied to NLP tasksβ923Updated 6 months ago
- Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conveβ¦β4,159Updated 9 months ago
- Github repo with tutorials to fine tune transformers for diff NLP tasksβ839Updated 11 months ago
- Beyond Accuracy: Behavioral Testing of NLP models with CheckListβ2,029Updated last year
- Model explainability that works seamlessly with π€ transformers. Explain your transformers model in just 2 lines of code.β1,327Updated last year
- Compute Sentence Embeddings Fast!β621Updated 2 years ago
- A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)β1,115Updated 6 months ago
- A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in β¦β420Updated last year
- Data augmentation for NLPβ4,522Updated 8 months ago
- Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining theβ¦β2,020Updated 6 months ago
- βοΈ A carefully curated list of NLP paper summariesβ1,479Updated 3 years ago
- ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generatorsβ2,348Updated 11 months ago
- BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)β586Updated 7 months ago
- A Visual Analysis Tool to Explore Learned Representations in Transformers Modelsβ587Updated last year
- πͺ End-to-end NLP workflows from prototype to productionβ1,358Updated 4 months ago
- Multimodal model for text and tabular data with HuggingFace transformers as building block for text dataβ602Updated 4 months ago
- Overview of Modern Deep Learning Techniques Applied to Natural Language Processingβ1,333Updated 4 years ago
- Text Similarityβ403Updated 4 years ago
- A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainablβ¦β340Updated last month
- π³ Recipes for the Prodigy, our fully scriptable annotation toolβ490Updated 7 months ago
- Fuzzy string matching, grouping, and evaluation.β752Updated 3 weeks ago
- PyTorch deep learning models for document classificationβ594Updated last year
- Scikit-learn style model finetuning for NLPβ709Updated 2 weeks ago
- TextAugment: Text Augmentation Libraryβ415Updated last year