Projects in Awesome Lists tagged with efficient-training
A curated list of projects in awesome lists tagged with efficient-training .
https://github.com/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.
computer-vision deep-learning efficient-training machine-learning pytorch
Last synced: 05 Apr 2025
https://github.com/zhaoyue-zephyrus/avion
[arXiv:2309.16669] Code release for "Training a Large Video Model on a Single Machine in a Day"
efficient-training video-understanding
Last synced: 28 Jan 2025
https://github.com/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
efficient-training large-language-models model-reusing transformers
Last synced: 19 Apr 2025
https://github.com/snap-research/mlpinit-for-gnns
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
deep-learning efficient-training feedforward-neural-network gnn graph-algorithm graph-neural-networks multi-layer-perceptron pytorch scalability
Last synced: 14 Apr 2025
https://github.com/zhiqiangdon/online-augment
Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)
auto-augment autoaugment automl data-augmentation efficient-training generative-adversarial-network less-domain-knowledge online-augment online-learning pytorch stn vae
Last synced: 30 Apr 2025
https://github.com/vita-group/l2-gcn
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
efficient-training gcn graph-convolutional-networks learning-to-learn
Last synced: 19 Apr 2025
https://github.com/VITA-Group/L2-GCN
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
efficient-training gcn graph-convolutional-networks learning-to-learn
Last synced: 28 Nov 2024
https://github.com/kentaroy47/datasetculling
:scissors: Dataset Culling: Faster training of domain specific models with distillation :scissors: (IEEE ICIP 2019)
dataset-culling distillation efficient-training object-detection pytorch
Last synced: 27 Jan 2025
https://github.com/snap-research/non-contrastive-link-prediction
[ICLR 2023] Link Prediction with Non-Contrastive Learning
deep-learning efficient-training gnn graph-neural-networks link-prediction non-contrastive-learning scalability self-supervised-learning self-supervision
Last synced: 14 Apr 2025