efficient-training
There are 20 repositories under efficient-training topic.
yashbhalgat/HashNeRF-pytorch
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
LeapLabTHU/EfficientTrain
1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundation visual backbones.
szq0214/FKD
Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"
zhaoyue-zephyrus/AVION
[arXiv:2309.16669] Code release for "Training a Large Video Model on a Single Machine in a Day"
SangyeopYeo/Edge-popup_with_MMD
Can We Find Strong Lottery Tickets in Generative Models? - Official Code (Pytorch)
kkahatapitiya/X3D-Multigrid
PyTorch implementation of X3D models with Multigrid training.
VITA-Group/LiGO
[ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Cox, Zhangyang Wang, Yoon Kim
snap-research/MLPInit-for-GNNs
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
zhiqiangdon/online-augment
Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)
GATECH-EIC/CPT
[ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
VITA-Group/L2-GCN
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
kentaroy47/DatasetCulling
:scissors: Dataset Culling: Faster training of domain specific models with distillation :scissors: (IEEE ICIP 2019)
changlin31/AutoProg
(CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers
snap-research/non-contrastive-link-prediction
[ICLR 2023] Link Prediction with Non-Contrastive Learning
lizhaoliu-Lec/DAS
This is the official repo for Densely-Anchored Sampling for Deep Metric Learning (ECCV 22).
GATECH-EIC/FracTrain
[NeurIPS 2020] "FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training" by Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
titania7777/VideoFrameSampler
Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
hmdolatabadi/ACS
[ECCV 2022] The official repository of ''$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training''.
hmdolatabadi/COLLIDER
[ACCV 2022] The official repository of ''COLLIDER: A Robust Training Framework for Backdoor Data''.