Google Research
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End-to-end training of sparse deep neural networks with little-to-no performance loss.
3d without friction (TF, Jax, Numpy)
[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.
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