Examples

Image Classification — Train an image classifier on the MNIST dataset

Transformer Language Model — A simple language model that learns to predict the next word in a sentence

GAN — Train a GAN that generates realistic human faces

Meta-Learning — Distributed training with the MAML algorithm on the Omniglot and MiniImagenet datasets

Large Language Models — Pretrain a large language model (LLM)

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