An open toolkit for composable, automatic, and scalable learning
Composable
To quickly assemble your applications
Automatic
To automatically tune your models
Scalable
To efficiently train your large models
For machine learning in the real world
Learn more
Examples
3
Scale across GPUs with Minimal Coding
A novel TensorFlow training engine for distributed deep learning
CASL Updates
Latest updates, publications, and news about CASL
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
In Submission
Introducing Texar-PyTorch:
An ML Library Integrating the Best of TensorFlow into PyTorch
EMNLP 2020
A data-centric framework for composable NLP workflows
ASYML
Machine Learning as Machine Assembly
AAAI 2021
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
NeurIPS 2020
A Study on Encodings for Neural Architecture Search
Journal of Machine Learning Research (JMLR), 2020
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
AAAI 2020
Tutorial: Modularizing Natural Language Processing
Partners
