efficient-neural-networks

There are 4 repositories under efficient-neural-networks topic.

snap-research / EfficientFormer
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
deep-learning detection efficient-inference efficient-neural-networks pytorch semantic-segmentation transformer imagenet transformers mobile-devices
Language:Python 1086
csarron / awesome-emdl
Embedded and mobile deep learning research resources
efficient-neural-networks deep-neural-networks deep-learning mobile-ai embedded-ai mobile-inference mobile-deep-learning pruning quantization neural-network-compression inference
756
chaitjo / efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
graph-neural-networks graph-representation-learning graph-convolutional-networks gnn efficient-deep-learning efficient-neural-networks scalable-deep-learning contrastive-learning knowledge-distillation
Language:Python 536
Zhen-Dong / HAWQ
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
4-bit 8-bit distillation efficient-neural-networks hardware-aware hessian mixed-precision model-compression pytorch quantization quantized-neural-networks tensorcore tvm
Language:Python 451
amirgholami / ZeroQ
[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
quantization quantized-neural-networks compression efficient-neural-networks efficient-model
Language:Python 280
kssteven418 / I-BERT
[ICML'21 Oral] I-BERT: Integer-only BERT Quantization
natural-language-processing quantization efficient-model efficient-neural-networks transformer bert model-compression
Language:Python 260
cure-lab / DeciWatch
[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"
2d-human-pose 3d-pose-estimation body-reconstruction efficient-inference human-pose-estimation 3d-body-recovery deep-learning efficiency efficient-neural-networks pose-estimation pytorch eccv eccv2022
Language:Python 185
BSConv
zeiss-microscopy / BSConv
Reference implementation for Blueprint Separable Convolutions (CVPR 2020)
cvpr2020 pytorch depthwise-separable-convolutions resnet mobilenet image-classification deep-learning efficient-neural-networks zeiss cifar10 cifar100 blueprint-separable-convolutions
Language:Python 139
kssteven418 / LTP
[KDD'22] Learned Token Pruning for Transformers
natural-language-processing transformer bert pruning model-compression efficient-model efficient-neural-networks
Language:Python 101
snap-research / F8Net
[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
deep-learning deep-neural-networks quantization efficient-neural-networks 8-bit
Language:Python 94
MingSun-Tse / Regularization-Pruning
[ICLR'21] Neural Pruning via Growing Regularization (PyTorch)
pruning filter-pruning model-compression efficient-neural-networks regularization
Language:Python 82
showlab / sparseformer
(ICLR 2024, CVPR 2024) SparseFormer
computer-vision transformer vision-transformer efficient-neural-networks sparseformer
Language:Python 75
szq0214 / SReT
Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"
vit transformer-architecture vision-transformer efficient-transformers efficient-neural-networks
Language:Python 66
eleGAN23 / HyperNets
Hypercomplex Neural Networks with PyTorch
convolutional-neural-networks hypercomplex-neural-networks lightweight-neural-network efficient-neural-networks quaternion-neural-networks hypercomplex-algebra phc phm pytorch hypercomlpex-parameterization parameterize-neural-network lightweight-convolution hypercomplex hypercomplex-convolution parameterize-hypercomplex-layer
Language:Python 55
d-li14 / SAN
[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images
classification eccv2020 efficient-neural-networks imagenet knowledge-distillation meta-learning mobilenetv2 pytorch resnet scale-invariance
Language:Python 43
kssteven418 / Q-ASR
[ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition
deep-learning speech speech-recognition automatic-speech-recognition quantization model-compression efficient-model efficient-neural-networks quartznet jasper
Language:Jupyter Notebook 34
Efficient-Scalable-Machine-Learning / EvNN
Event-based neural networks
cuda efficient-neural-networks neural-network pytorch rnn-model sparse-neural-networks spiking-neural-networks
Language:Python 28
skelemoa / psumnet
Official pytorch implementation for PSUMNet for efficient skeleton action recognition
action-recognition efficient-neural-networks pytorch skeleton-based-action-recognition ntu-rgbd shrec3d
Language:Python 28
d-becking / efficientCNNs
Finding Storage- and Compute-Efficient Convolutional Neural Networks
micronet-challenge compound-scaling quantization sparsity efficient-inference pytorch neural-network neural-architecture-search entropy-coding efficient-neural-networks ec2t sparsity-optimization quantization-algorithms
Language:Python 6
neurips-2019-micronet-challenge
d-becking / neurips-2019-micronet-challenge
NeurIPS 2019 MicroNet Challenge
micronet-challenge efficient-neural-networks compound-scaling quantization quantization-algorithms sparsity sparsity-optimization efficient-inference pytorch neural-network neural-architecture-search entropy-coding ec2t
Language:Python 6
anilkagak2 / DiSK_Distilling_Scaffolded_Knowledge
DiSK: Distilling Scaffolded Knowledge from Teacher to Student.
efficient-neural-networks knowledge-distillation dnn-training-algorithm
Language:Python 5
ParitoshParmar / HalluciNet--PyTorch
Approximating a 3DCNN with a 2DCNN
action-recognition action-quality-assessment pytorch scene-recognition efficient-neural-networks action-anticipation representation-learning video-processing video-understanding resnext vgg multitask-learning c3d c3d-lstm 3dcnn deep-learning transfer-learning lightweight-neural-network future-prediction
Language:Python 5
snap-research / Test-time-Aggregation-for-CF
[NeurIPS'24] How Does Message Passing Improve Collaborative Filtering?
collaborative-filtering efficient-neural-networks gnn graph neurips-2024 recommendation recsys
Language:Python 5
pliang279 / sparse_discrete
[ICLR 2021] Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
deep-learning natural-language-processing recommender-system machine-learning sparse-representations efficient-neural-networks
Language:Python 3
Snigdho8869 / DeepDream-StyleTransfer
Explore image transformations with DeepDream Algorithm and Neural Style Transfer in creative image processing.
deep-learning deep-neural-networks deepdream deepdream-model deepdreamgenerator deeplearning efficient-model efficient-neural-networks efficientnet image-manipulation image-processing neural-style neural-style-transfer neural-style-transfer-tensorflow style-transfer style-transfer-algorithms neural-networks-visualization artificial-intelligence flask web-development
Language:Jupyter Notebook 3
aluminarius / ReLU_Plus_Plus
ReLU++: A modified ReLU activation function with enhanced performance for deep learning models.
leaky-relu relu parametric-relu activation-function deep-learning efficient-neural-networks machine-learning neural-network optimization flexible-activation-function artificial-intelligence keras python pytorch tensorflow
1
edrvfl
L-A-Sandhu / edrvfl
Ensemble Deep Random Vector Functional Link with Skip Connections (edRVFL-SC) No GPU required • 100× faster training
regression time-series-analysis edge-ai efficient-neural-networks energy-efficient-ai ensemble-methods iot-machine-learning real-time-prediction resource-constrained-ml cpu-only-deep-learning fast-training-algorithms gpu-free-machine-learning lightweight-deep-learning non-iterative-learning
Language:Python 1
MatthiasKi / structurednets
Library for Structured Matrices (approximation methods and structured layers for neural networks)
efficient-inference efficient-neural-networks matrix-approximation matrix-factorization matrix-structure matrix-structures neural-network pytorch
Language:Python 1
alessioarcara / ipcv_assignments
Product recognition using the Generalized Hough Transform (GHT) and product classification with a tiny and extremely efficient convolutional neural network.
cnn-classification color-similarity efficient-neural-networks hough-transform
Language:Jupyter Notebook 0
alexeybelkov / MedQ
Implementation of MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation
computer-vision efficient-neural-networks medical-image-segmentation medical-imaging quantization quantization-aware-training