How to create a custom dataset in PyTorch
· AI & Machine Learning
Learn to implement custom Dataset and DataLoader classes in PyTorch for flexible data feeding during training.
Category: AI & Machine Learning
50 questions in AI & Machine Learning.
How to use Weights and Biases for logging
· AI & Machine Learning
Understand how Weights and Biases logs metrics, visualizes training runs, and compares machine learning experiments.
How to deploy a Hugging Face model
· AI & Machine Learning
Learn deployment options for Hugging Face models including Inference API, Spaces, and cloud integration.
How to use MLflow for experiment tracking
· AI & Machine Learning
Discover how MLflow tracks experiments, logs parameters and metrics, and manages model versioning efficiently.
How to convert a PyTorch model to ONNX
· AI & Machine Learning
Learn how to export PyTorch models to ONNX format for cross-platform deployment and inference optimization.
How to call the OpenAI API from Python
· AI & Machine Learning
Understand how to authenticate and call OpenAI APIs from Python for completions, embeddings, and chat functionality.
How to use Hugging Face Transformers
· AI & Machine Learning
Learn how to use Hugging Face Transformers library to load, fine-tune, and deploy state-of-the-art NLP models.
How to use scikit-learn for ML pipelines
· AI & Machine Learning
Discover how to build end-to-end machine learning pipelines using scikit-learn transformers and estimators.
How to build models with PyTorch
· AI & Machine Learning
Learn PyTorch fundamentals including tensors, autograd, nn.Module, and how to build and train deep learning models.
How to get started with TensorFlow
· AI & Machine Learning
Get started with TensorFlow by understanding tensors, graphs, Keras API, and building your first neural network model.