ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
☆1,264Feb 6, 2025Updated last year
Alternatives and similar repositories for ktrain
Users that are interested in ktrain are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conve…☆4,239Aug 25, 2025Updated 7 months ago
- Super easy library for BERT based NLP models☆1,920Aug 19, 2024Updated last year
- Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.☆1,754Dec 20, 2023Updated 2 years ago
- A very simple framework for state-of-the-art Natural Language Processing (NLP)☆14,363Oct 27, 2025Updated 5 months ago
- Top2Vec learns jointly embedded topic, document and word vectors.☆3,105Nov 14, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- State-of-the-Art Text Embeddings☆18,534Updated this week
- Leveraging BERT and c-TF-IDF to create easily interpretable topics.☆7,526Feb 20, 2026Updated last month
- The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic …☆3,650Mar 26, 2026Updated 2 weeks ago
- Deep learning with text doesn't have to be scary.☆274Dec 27, 2022Updated 3 years ago
- Data augmentation for NLP☆4,656Jun 24, 2024Updated last year
- Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, vide…☆561Aug 20, 2024Updated last year
- A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in …☆432Feb 5, 2024Updated 2 years ago
- 🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy☆1,403Mar 27, 2026Updated 2 weeks ago
- Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the…☆2,094Aug 15, 2024Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- skweak: A software toolkit for weak supervision applied to NLP tasks☆926Sep 2, 2024Updated last year
- Text preprocessing, representation and visualization from zero to hero.☆2,909Aug 29, 2023Updated 2 years ago
- A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coher…☆1,266Jul 24, 2025Updated 8 months ago
- NLP, before and after spaCy☆2,239Sep 22, 2023Updated 2 years ago
- 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP☆12,828Jan 23, 2024Updated 2 years ago
- TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs…☆3,400Jul 10, 2025Updated 9 months ago
- A system for quickly generating training data with weak supervision☆5,948Updated this week
- DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks☆1,266Mar 2, 2023Updated 3 years ago
- Minimal keyword extraction with BERT☆4,147Feb 3, 2026Updated 2 months ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A Hyperparameter Tuning Library for Keras☆2,925Dec 1, 2025Updated 4 months ago
- A game theoretic approach to explain the output of any machine learning model.☆25,286Updated this week
- Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.☆1,411Aug 30, 2023Updated 2 years ago
- Active Learning for Text Classification in Python☆638Apr 1, 2026Updated last week
- Open source annotation tool for machine learning practitioners.☆10,609Updated this week
- NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations☆787May 19, 2024Updated last year
- A fast, efficient universal vector embedding utility package.☆1,658Aug 3, 2023Updated 2 years ago
- Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the mo…☆22,974Jul 28, 2024Updated last year
- Efficient few-shot learning with Sentence Transformers☆2,710Apr 2, 2026Updated last week
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Natural Language Processing Best Practices & Examples☆6,443Aug 30, 2022Updated 3 years ago
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆159,060Updated this week
- Compute Sentence Embeddings Fast!☆626Mar 2, 2023Updated 3 years ago
- An open-source, low-code machine learning library in Python☆9,736Apr 21, 2025Updated 11 months ago
- Fuzzy string matching, grouping, and evaluation.☆795Jul 10, 2025Updated 9 months ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,534Jul 17, 2025Updated 8 months ago
- 1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.☆963Jan 28, 2025Updated last year