kyleliang919/NIPS-2017-Learning-to-Run

This repository has been archived on 13/Sep/2023
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Created about 7 years ago
Updated about 7 years ago

kyleliang919/NIPS-2017-Learning-to-Run

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Reinforcement learning environments with musculoskeletal models

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Exploring finetuning public checkpoints on filter 8K sequences on Pile

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Using the forward forward algorithm to train large language model

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This repository contains the pytorch attempts to replicate the results from the recent DeepMind Paper, "On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models"

Jupyter Notebook

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Standardizing test suite for optimizer experiments in the era of transformers by UT Statistical Learning & AI Group

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InfoGAN

Replication of InfoGAN paper

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Distributed Lion optimizer that works on extremely low bandwidth and robust against worker drop-out