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opsd
Here are 6 public repositories matching this topic...
On-Policy Self-Distillation for Post-Training Few-Step Autoregressive Video Generators
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Oct 10, 2026 - Python
Official code for "Self-Distilled Agentic Reinforcement Learning"
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Oct 15, 2026 - Python
Source code of paper "RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation"
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Sep 14, 2026 - Python
TTPO: Test-Time Policy Optimization
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Oct 2, 2026 - Python
A PyTorch-based, end-to-end energy time-series forecasting demo with LSTM/GRU models, strong seasonal baselines, residual learning, and a CLI for reproducible train/eval runs on OPSD (with run logging + notebooks).
data-science machine-learning energy deep-learning time-series pytorch forcasting electricity-load-forecasting time-series-forecasting rnn-gru rnn-lstm experiment-tracking opsd
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Jan 6, 2026 - Jupyter Notebook
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