Training Models
BERT-Large Training
BERT-Large (Bidirectional Encoder Representations from Transformers) for NLP training on IPUs.
View on GitHubBERT-Large Training
BERT-Large (Bidirectional Encoder Representations from Transformers) for NLP training on IPUs.
View on GitHubBERT-Large Training
BERT-Large (Bidirectional Encoder Representations from Transformers) for NLP training on IPUs.
View on GitHubBERT-Base Training
BERT-Base (Bidirectional Encoder Representations from Transformers) for NLP pre-training and training on IPUs.
View on GitHubBERT-Base Training
BERT-Base (Bidirectional Encoder Representations from Transformers) for NLP pre-training and training on IPUs.
View on GitHubBERT-Base Training
BERT-Base (Bidirectional Encoder Representations from Transformers) for NLP pre-training and training on IPUs.
View on GitHubResNet-50 Training
Image classification training on IPUs using the CNN (Convolutional Neural Network) model ResNet-50.
View on GitHubResNet-50 Training
Image classification training on IPUs using the CNN (Convolutional Neural Network) model ResNet-50.
View on GitHubEfficientNet-B0 Training
CNN (Convolutional Neural Network) image classification training on IPUs with EfficientNet.
View on GitHubEfficientNet-B4 Training
CNN (Convolutional Neural Network) image classification training on IPUs with EfficientNet.
View on GitHubResNeXt-101 Training
Image classification training on IPUs using the CNN (Convolutional Neural Network) model ResNeXt-101.
View on GitHubMCMC Training
Markov Chain Monte Carlo (MCMC) training on IPUs using standard TensorFlow Probability.
View on GitHubDeep Voice 3 Training
Text-To-Speech training on IPUs using a Convolutional Sequence Learning technique.
View on GitHubDIEN Training
DIEN (Deep Interest Evolution Network) training on IPUs - a recommendation model for click-through rate prediction.
View on GitHubDIN Training
DIN (Deep Interest Network) training on IPUs - a recommendation model for click-through rate prediction.
View on GitHubYOLOv3 Training
YOLOv3 - You Only Look Once - is a convolutional neural network model that performs object detection tasks on IPUs.
View on GitHubAutoencoder Training
Custom autoencoder model on the IPU to train collaborative filtering in recommender systems.
View on GitHubContrastive Divergence VAE Training
Train a Variational Autoencoder / Markov Chain Monte Carlo hybrid model on IPUs.
View on GitHubReinforcement Learning Training
How to train a deep reinforcement learning model on multiple IPUs with synchronous data parallel training.
View on GitHubSales Forecasting Training
How to train a sales forecasting machine learning model on Graphcore's IPUs.
View on GitHubUNet Industrial Training
How to run a UNet Industrial training example for image segmentation
View on GitHubInference Models
BERT-Large Inference
BERT-Large (Bidirectional Encoder Representations from Transformers) for NLP inference on IPUs.
View on GitHubBERT-Base Inference
BERT-Base (Bidirectional Encoder Representations from Transformers) for NLP inference on IPUs.
View on GitHubResNet-50 Inference
Image classification inference on IPUs using the CNN (Convolutional Neural Network) model ResNet-50.
View on GitHubResNet-50 Inference
Image classification inference on IPUs using the CNN (Convolutional Neural Network) model ResNet-50.
View on GitHubEfficientNet-B0/B4 Inference
CNN (Convolutional Neural Network) image classification inference on IPUs with EfficientNet.
View on GitHubResNeXt-101 Inference
Image classification inference on IPUs using the CNN (Convolutional Neural Network) model ResNeXt-101.
View on GitHubResNeXt-101 Inference
Image classification inference on IPUs using the CNN (Convolutional Neural Network) model ResNeXt-101.
View on GitHubResNeXt-101 Inference
Image classification inference on IPUs using the CNN (Convolutional Neural Network) model ResNeXt-101.
View on GitHubDIEN Inference
DIEN (Deep Interest Evolution Network) inference on IPUs - a recommendation model for click-through rate prediction.
View on GitHubDIN Inference
DIN (Deep Interest Network) inference on IPUs - a recommendation model for click-through rate prediction.
View on GitHubYOLOv3 Inference
YOLOv3 - You Only Look Once - is a convolutional neural network model that performs object detection tasks on IPUs.
View on GitHub