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Hashnerf Pytorch ⭐ 873

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

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

[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

Code release for "Training a Large Video Model on a Single Machine in a Day"

X3d Multigrid ⭐ 45

PyTorch implementation of X3D models with Multigrid training.

Efficienttrain ⭐ 38

Reducing the training cost of SOTA deep networks (e.g., ConvNeXts, DeiT, PVT, Swin/CSWin, MAE) by >1.5× on ImageNet-1K/22K without sacrificing the accuracy.

Datasetculling ⭐ 27

✂️ Dataset Culling: Faster training of domain specific models with distillation ✂️ (IEEE ICIP 2019)

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

This is the official repo for Densely-Anchored Sampling for Deep Metric Learning (ECCV 22).

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