Examples

Image Classification

Train an image classifier on the MNIST dataset

basic

Transformer Language Model

A simple language model that learns to predict the next word in a sentence

basic

GAN

Train a GAN that generates realistic human faces

intermediate

Meta-Learning

Distributed training with the MAML algorithm on the Omniglot and MiniImagenet datasets

intermediate

Large Language Models

Pre-train a GPT-2 language model on OpenWebText data

advanced

Reinforcement Learning

Implementation of the Proximal Policy Optimization (PPO) algorithm with multi-GPU support

K-Fold Cross Validation

Cross validation helps you estimate the generalization error of a model and select the best one.

Active Learning

Coming soon