👉 Candles is a deep learning framework that simplifies the process of training and deploying machine learning models, particularly for natural language processing tasks. It introduces a unique approach where it abstracts away much of the boilerplate code typically associated with setting up and training models, such as data loading, preprocessing, and model architecture definition. Candles uses a concept called "candles layers" to build neural networks, which are composed of multiple layers of operations like embeddings, attention mechanisms, and transformers. This modular design allows users to easily experiment with different architectures without needing deep knowledge of neural network internals. Additionally, Candles provides a high-level API for model training and evaluation, making it accessible to both beginners and experienced practitioners. It also supports various optimization techniques and integrates well with popular libraries like PyTorch, enabling efficient experimentation and deployment of models.
