Search Results - RepositoryStats

101

975

mit

16

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

nerf hashing neural-network computer-vision machine-learning 3d-reconstruction computer-graphics efficient-training real-time-rendering artificial-intelligence signed-distance-functions

Created 2022-01-23

41 commits to main branch, last one 4 months ago

EfficientTrain LeapLabTHU

9

213

mit

6

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.

pytorch deep-learning computer-vision machine-learning efficient-training

Created 2022-11-14

27 commits to main branch, last one 4 months ago

FKD szq0214

31

182

mit

8

Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"

pytorch distillation deep-learning efficient-training efficient-algorithm efficientnet-pytorch knowledge-distillation self-supervised-learning

Created 2021-12-03

28 commits to main branch, last one 7 months ago

AVION zhaoyue-zephyrus

7

118

mit

1

[arXiv:2309.16669] Code release for "Training a Large Video Model on a Single Machine in a Day"

efficient-training video-understanding

Created 2023-08-30

11 commits to main branch, last one 4 months ago

Edge-popup_with_MMD SangyeopYeo

14

100

apache-2.0

0

Can We Find Strong Lottery Tickets in Generative Models? - Official Code (Pytorch)

pruning computer-vision generative-model efficient-training maximum-mean-discrepancy

Created 2022-11-23

1 commits to main branch, last one 5 months ago

X3D-Multigrid kkahatapitiya

13

93

mit

2

PyTorch implementation of X3D models with Multigrid training.

x3d multigrid efficient-training efficient-video-architectures

Created 2020-08-17

27 commits to master branch, last one 3 years ago

LiGO VITA-Group

9

83

mit

26

[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...

transformers model-reusing efficient-training large-language-models

Created 2023-02-21

18 commits to main branch, last one 9 months ago

MLPInit-for-GNNs snap-research

4

77

mit

7

[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization

gnn pytorch scalability deep-learning graph-algorithm efficient-training graph-neural-networks multi-layer-perceptron feedforward-neural-network

Created 2022-08-12

13 commits to main branch, last one about a year ago

APOLLO zhuhanqing

1

69

apache-2.0

4

APOLLO: SGD-like Memory, AdamW-level Performance

llm optimizer llm-training memory-efficient efficient-training

Created 2024-12-08

25 commits to main branch, last one 5 days ago