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GitHub topics: efficient-neural-networks

L-A-Sandhu/edrvfl

Ensemble Deep Random Vector Functional Link with Skip Connections (edRVFL-SC) No GPU required • 100× faster training

Language: Python - Size: 2.11 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

csarron/awesome-emdl

Embedded and mobile deep learning research resources

Size: 88.9 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 753 - Forks: 169

kssteven418/LTP

[KDD'22] Learned Token Pruning for Transformers

Language: Python - Size: 40.1 MB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 98 - Forks: 18

snap-research/EfficientFormer

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

Language: Python - Size: 2.27 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 1,047 - Forks: 92

snap-research/F8Net

[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization

Language: Python - Size: 1.09 MB - Last synced at: 25 days ago - Pushed at: about 3 years ago - Stars: 95 - Forks: 14

kssteven418/I-BERT

[ICML'21 Oral] I-BERT: Integer-only BERT Quantization

Language: Python - Size: 6.38 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 246 - Forks: 36

chaitjo/efficient-gnns

Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)

Language: Python - Size: 2.32 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 533 - Forks: 64

showlab/sparseformer

(ICLR 2024, CVPR 2024) SparseFormer

Language: Python - Size: 261 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 74 - Forks: 2

zeiss-microscopy/BSConv

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

Language: Python - Size: 1.73 MB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 138 - Forks: 23

Snigdho8869/DeepDream-StyleTransfer

Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

cure-lab/DeciWatch

[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"

Language: Python - Size: 28.2 MB - Last synced at: 4 months ago - Pushed at: about 3 years ago - Stars: 177 - Forks: 16

szq0214/SReT

Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"

Language: Python - Size: 557 KB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 64 - Forks: 11

kssteven418/Q-ASR

[ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition

Language: Jupyter Notebook - Size: 41.9 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 31 - Forks: 2

d-li14/SAN

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

Language: Python - Size: 432 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 43 - Forks: 5

d-becking/efficientCNNs

Finding Storage- and Compute-Efficient Convolutional Neural Networks

Language: Python - Size: 286 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 3

Efficient-Scalable-Machine-Learning/EvNN

Event-based neural networks

Language: Python - Size: 6.52 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 20 - Forks: 4

d-becking/neurips-2019-micronet-challenge

NeurIPS 2019 MicroNet Challenge

Language: Python - Size: 66 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 6 - Forks: 1

Zhen-Dong/HAWQ

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

Language: Python - Size: 691 KB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 361 - Forks: 80

amirgholami/ZeroQ

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

Language: Python - Size: 5.47 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 258 - Forks: 52

ParitoshParmar/HalluciNet--PyTorch

Approximating a 3DCNN with a 2DCNN

Language: Python - Size: 126 KB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 6 - Forks: 0

MatthiasKi/structurednets

Library for Structured Matrices (approximation methods and structured layers for neural networks)

Language: Python - Size: 439 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

MingSun-Tse/Regularization-Pruning

[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)

Language: Python - Size: 2.17 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 69 - Forks: 17

anilkagak2/DiSK_Distilling_Scaffolded_Knowledge

DiSK: Distilling Scaffolded Knowledge from Teacher to Student.

Language: Python - Size: 6.12 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 1

skelemoa/psumnet

Official pytorch implementation for PSUMNet for efficient skeleton action recognition

Language: Python - Size: 38.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 19 - Forks: 4

eleGAN23/HyperNets

Hypercomplex Neural Networks with PyTorch

Language: Python - Size: 563 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 7

pliang279/sparse_discrete

[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies

Language: Python - Size: 5.83 MB - Last synced at: 16 days ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1

Related Keywords
efficient-neural-networks 26 pytorch 12 deep-learning 9 quantization 8 efficient-inference 5 model-compression 5 efficient-model 5 transformer 4 neural-network 4 natural-language-processing 3 pruning 3 knowledge-distillation 3 deep-neural-networks 3 quantization-algorithms 2 sparsity 2 sparsity-optimization 2 bert 2 imagenet 2 neural-architecture-search 2 micronet-challenge 2 entropy-coding 2 ec2t 2 compound-scaling 2 quantized-neural-networks 2 vision-transformer 2 resnet 2 lightweight-neural-network 2 8-bit 2 action-recognition 2 mixed-precision 1 tensorcore 1 hessian 1 tvm 1 compression 1 3dcnn 1 action-anticipation 1 action-quality-assessment 1 ntu-rgbd 1 hardware-aware 1 distillation 1 4-bit 1 spiking-neural-networks 1 sparse-neural-networks 1 rnn-model 1 cuda 1 scale-invariance 1 mobilenetv2 1 meta-learning 1 eccv2020 1 classification 1 speech-recognition 1 speech 1 neural-network-compression 1 shrec3d 1 skeleton-based-action-recognition 1 convolutional-neural-networks 1 hypercomlpex-parameterization 1 hypercomplex 1 hypercomplex-algebra 1 hypercomplex-convolution 1 hypercomplex-neural-networks 1 lightweight-convolution 1 parameterize-hypercomplex-layer 1 parameterize-neural-network 1 phc 1 phm 1 quaternion-neural-networks 1 machine-learning 1 recommender-system 1 sparse-representations 1 c3d 1 c3d-lstm 1 future-prediction 1 multitask-learning 1 representation-learning 1 resnext 1 scene-recognition 1 transfer-learning 1 vgg 1 video-processing 1 video-understanding 1 matrix-approximation 1 matrix-factorization 1 matrix-structure 1 matrix-structures 1 filter-pruning 1 regularization 1 dnn-training-algorithm 1 detection 1 mobile-devices 1 semantic-segmentation 1 transformers 1 contrastive-learning 1 efficient-deep-learning 1 gnn 1 graph-convolutional-networks 1 graph-neural-networks 1 graph-representation-learning 1 scalable-deep-learning 1 computer-vision 1