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1. Efficient-Deep-Learning Efficient-Deep-Learning Public

   Collection of recent methods on (deep) neural network compression and acceleration.

   946 131

2. snap-research/R2L snap-research/R2L Public

   [ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

   Python 192 23

3. Collaborative-Distillation Collaborative-Distillation Public

   [CVPR'20] Collaborative Distillation for Ultra-Resolution Universal Style Transfer (PyTorch)

   Python 188 23

4. Regularization-Pruning Regularization-Pruning Public

   [ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

   Python 83 23

5. Good-DA-in-KD Good-DA-in-KD Public

   [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective

   Python 37 2

6. ASSL ASSL Public

   [NeurIPS'21 Spotlight] Aligned Structured Sparsity Learning for Efficient Image Super-Resolution (PyTorch)

   Python 61 6