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Flyte Docs
User guide
Tutorials
API reference
Deployment
Architecture
Integrations
Community
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Bioinformatics
Nucleotide Sequence Querying with BLASTX
BLASTX example
Feature engineering
EDA, Feature Engineering, and Modeling with Papermill
EDA and feature engineering in Jupyter notebook and modeling in a Flyte task
EDA and feature engineering in one Jupyter notebook and modeling in the other
Flyte pipeline in one Jupyter notebook
Supermarket regression 1 notebook
Supermarket regression 2 notebook
Supermarket regression notebook
Feast integration
Feature engineering tasks
Flyte pipeline with Feast
How to trigger the Feast workflow using FlyteRemote
Flytelab
Weather forecasting
Model training
Diabetes classification
Train and Validate a diabetes classification XGBoost model
Forecasting Rossman store sales with Horovod and Spark
Data-parallel distributed training using Horovod on Spark
House price regression
Predicting house price in a region using XGBoost
Predicting house price in multiple regions using XGBoost and dynamic workflows
MNIST classification with PyTorch and W & B
Single N=node, multi-GPU training
Single node, single GPU training
NLP processing
Word E=embeddings and topic modelling with Gensim
Serving
Deploy Custom Webhooks to Launch Workflows
Flyte OSS
Tutorials
Flytelab
Flytelab
This section contains end-to-end ML projects using Flyte.
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