Meta Sim for Generating Synthetic Datasets

README.md

@@ -388,6 +388,9 @@ This is a curated list of tutorials, projects, libraries, videos, papers, books
 - [Variational Recurrent Autoencoder for Timeseries Clustering](https://github.com/tejaslodaya/timeseries-clustering-vae)
 - [Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery](https://github.com/edouardelasalles/stnn)
 
+## Synthetic Datasets
+- [Meta-Sim: Learning to Generate Synthetic Datasets](https://github.com/nv-tlabs/meta-sim)
+
 ## Neural Network General Improvements
 - [In-Place Activated BatchNorm for Memory-Optimized Training of DNNs](https://github.com/mapillary/inplace_abn)
 - [Train longer, generalize better: closing the generalization gap in large batch training of neural networks](https://github.com/eladhoffer/bigBatch)