[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
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Sep 7, 2025 - Python
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efficient-deep-learning
Here are 93 public repositories matching this topic...
[TMLR 2024] Efficient Large Language Models: A Survey
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Oct 30, 2026
Efficient Deep Learning Systems course materials
machine-learning deep-learning cuda pytorch performance-optimization distributed-training ml-infrastructure mlops inference-optimization efficient-deep-learning ml-systems
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May 28, 2026 - Jupyter Notebook
Collection of recent methods on (deep) neural network compression and acceleration.
deep-neural-networks deep-learning knowledge-distillation model-compression network-pruning efficient-deep-learning
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Apr 4, 2025
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
knowledge-distillation graph-convolutional-networks graph-neural-networks graph-representation-learning scalable-deep-learning gnn efficient-neural-networks contrastive-learning efficient-deep-learning
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Feb 4, 2023 - Python
📚 Collection of awesome generation acceleration resources.
image-generation text-to-image efficient-inference video-generation model-acceleration diffusion-models text-to-video efficient-deep-learning
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Jul 7, 2025
[IEEE TPAMI] Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
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Apr 30, 2026 - Python
[ECCV 2026] Official implementation of "ZipDepth: Bringing Lightweight Zero-Shot Monocular Depth Anywhere, on Any Device". A compact 6.1M-parameter network for zero-shot monocular depth estimation, running in real time from server GPUs to mobile phones via knowledge distillation from foundation models.
depth-estimation monocular-depth single-image-depth-prediction monocular-depth-estimation efficient-deep-learning single-image-to-3d embedded-deployment
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Aug 22, 2026 - Python