efficient-deep-learning
There are 45 repositories under efficient-deep-learning topic.
VainF/Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
htqin/awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
MingSun-Tse/Efficient-Deep-Learning
Collection of recent methods on (deep) neural network compression and acceleration.
mryab/efficient-dl-systems
Efficient Deep Learning Systems course materials (HSE, YSDA)
chaitjo/efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks
LMD0311/DAPT
[CVPR 2024] Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
LayneH/GreenMIM
[NeurIPS2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.
VainF/Diff-Pruning
[NeurIPS 2023] Structural Pruning for Diffusion Models
htqin/awesome-efficient-aigc
A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including language and vision, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
yhlleo/VTs-Drloc
NeurIPS 2021, Official codes for "Efficient Training of Visual Transformers with Small Datasets".
Sharath-girish/efficientgaussian
Official implementation of "EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS"
sdc17/UPop
[ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
gmh14/data_efficient_grammar
[ICLR 2022] Data-Efficient Graph Grammar Learning for Molecular Generation
FrancoisPorcher/awesome-ai-tutorials
The best collection of AI tutorials to make you a boss of Data Science!
HayeonLee/MetaD2A
Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)
HayeonLee/HELP
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
MingSun-Tse/Awesome-Pruning-at-Initialization
[IJCAI'22 Survey] Recent Advances on Neural Network Pruning at Initialization.
BeSpontaneous/FFN-pytorch
Frame Flexible Network (CVPR2023)
EnVision-Research/DDSM
Denoising Diffusion Step-aware Models (ICLR2024)
MingSun-Tse/Awesome-Efficient-ViT
Recent Advances on Efficient Vision Transformers
MingSun-Tse/Why-the-State-of-Pruning-so-Confusing
[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
OPTML-Group/DeepZero
[ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Diffenderfer, Jiancheng Liu, Konstantinos Parasyris, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
datvuthanh/Stereo-Matching
Efficient Deep Learning for Stereo Matching Tensorflow 2.x
MingSun-Tse/Smile-Pruning
A generic code base for neural network pruning, especially for pruning at initialization.
MingSun-Tse/TPP
[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
negarhdr/skeleton-based-action-recognition
This repository provides implementation of a baseline method and our proposed methods for efficient Skeleton-based Human Action Recognition.
gmh14/Geo-DEG
[ICML 2023] Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction
sdc17/CrossGET
[ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.
mmontielpz/jetseg
NeurIPS 2023
ROIM1998/APT
[ICML'24 Oral] APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference
CownowAn/DaSS
Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)
tonyjo/edlsm_pytorch
Pytorch implementation for stereo matching described in the paper: Efficient Deep learning for stereo matching
tallamjr/astronet
Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series
david-knigge/separable-group-convolutional-networks
Code repository of the paper "Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups" https://proceedings.mlr.press/v162/knigge22a.html
xuyang-liu16/Awesome-Diffusion-Acceleration
📚 Collection of awesome diffusion acceleration resources.
LauzHack/deep-learning-bootcamp
LauzHack Deep Learning Bootcamp