Lists (1)
Stars
Windows software for sharing locally connected USB devices to other machines, including Hyper-V guests and WSL 2.
This repository holds the Python scripts discussed in the Infosec Institute's Python for Cybersecurity learning Path
Este repositorio está diseñado para la preparación de la certificación eJPTv2 (eLearnSecurity Junior Penetration Tester v2). Incluye recursos, prácticas y ejercicios para ayudarte a adquirir las ha…
A collection of resources to study Transformers in depth.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Cyber Security concepts extracted from unstructured threat intelligence reports using Named Entity Recognition
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, B…
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Generate tiktok signature token using node
Live survey of off-the-shelf language identification tools for python
spaCy pipeline object for negating concepts in text
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)
Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.
MedType: Improving Medical Entity Linking with Semantic Type Prediction
Repository of the multilingual extension of STS Benchmark to 15 languages
⚡ A Fast, Extensible Progress Bar for Python and CLI
Dockerfiles for my most frequent development environments
Modules to convert numbers to words. 42 --> forty-two
State-of-the-Art Text Embeddings
A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.