Deep Learning & NLP Applications
8 repos
Practical applications of deep learning and natural language processing, with a focus on computer vision and language understanding tasks. The cluster includes educational resources (AI-for-beginners), training frameworks (ktrain), and specialized models for tasks like semantic routing and visual-spatial reasoning. Most repos are implemented as Jupyter notebooks and Python scripts, reflecting a hands-on, exploratory approach to building and experimenting with ML/NLP systems.
Jupyter Notebook · 4
Python · 4
nlp ·72,212
computer-vision ·72,212
deep-learning ·60,919
transformers ·60,919
generative-ai ·58,806
machine-learning ·58,806
ai ·58,806
ai-agents ·54,907
ai-engineering ·54,907
agents ·54,907
