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Projects in Awesome Lists by daochenzha

A curated list of projects in awesome lists by daochenzha .

https://github.com/daochenzha/ltsm

Understanding Different Design Choices in Training Large Time Series Models

Last synced: 16 Dec 2024

https://github.com/daochenzha/rapid

[ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.

Last synced: 16 Dec 2024

https://github.com/daochenzha/simtsc

[SDM 2022] Towards Similarity-Aware Time-Series Classification

Last synced: 16 Dec 2024

https://github.com/daochenzha/meta-aad

[ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning

Last synced: 16 Dec 2024

https://github.com/daochenzha/dreamshard

[NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems

Last synced: 16 Dec 2024

https://github.com/daochenzha/autoshard

[KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems

Last synced: 16 Dec 2024

https://github.com/daochenzha/neuroshard

[MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models

Last synced: 16 Dec 2024

https://github.com/daochenzha/autosmote

[CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification

Last synced: 16 Dec 2024

https://github.com/daochenzha/ssrl

Self-Supervised Reinforcement Learning

Last synced: 16 Dec 2024

https://github.com/daochenzha/useful

Last synced: 16 Dec 2024

https://github.com/daochenzha/2048

2048 game on FPGA development board

Last synced: 16 Dec 2024

https://github.com/daochenzha/cube

A moving cube based on OpenGL (it can rotate, move and zoom)

Last synced: 16 Dec 2024

https://github.com/daochenzha/cnn-for-mnist

A simple CNN that achieves 99.9% testing accuracy on MNIST

Last synced: 16 Dec 2024

https://github.com/daochenzha/pydtw

Last synced: 16 Dec 2024