[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
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Updated
Sep 7, 2025 - Python
[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
[TMLR 2024] Efficient Large Language Models: A Survey
Efficient Deep Learning Systems course materials
Collection of recent methods on (deep) neural network compression and acceleration.
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
📚 Collection of awesome generation acceleration resources.
[IEEE TPAMI] Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
[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.
[NeurIPS 2023] Structural Pruning for Diffusion Models
📚 Collection of token-level model compression resources.
[TMLR 2025] Efficient Diffusion Models: A Survey
Official implementation of "EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS"
[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
a curated list of high-quality papers on resource-efficient LLMs 🌱
[NeurIPS 2021] Official codes for "Efficient Training of Visual Transformers with Small Datasets".
[CVPR 25] Official Implementation (Pytorch) of "EfficientViM: Efficient Vision Mamba with Hidden State Mixer-based State Space Duality"
LauzHack Deep Learning Bootcamp
The best collection of AI tutorials to make you a boss of Data Science!
[EMNLP 2026] 📚 A curated list of Awesome Efficient dLLMs Papers with Codes
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