A curated list of neural network pruning resources.
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Apr 4, 2024
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model-acceleration
Here are 20 public repositories matching this topic...
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
awesome deep-learning quantization binarization model-compression model-acceleration binary-network binarized-neural-networks lightweight-neural-network model-quantization efficient-deep-learning
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Nov 1, 2024
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
tensorflow pytorch hyperparameter-optimization awesome-list quantization nas automl model-compression neural-architecture-search meta-learning architecture-search quantized-training model-acceleration automated-feature-engineering quantized-neural-network
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Jun 19, 2021
Papers for deep neural network compression and acceleration
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Jun 21, 2021
[NeurIPS'24] Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
efficient-inference model-acceleration adaptive-inference diffusion-models stable-diffusion training-free
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Nov 3, 2024 - Python
CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient
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Nov 28, 2024 - Python
📚 Collection of awesome generation acceleration resources.
image-generation text-to-image efficient-inference video-generation model-acceleration diffusion-models text-to-video efficient-deep-learning
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Dec 26, 2024
MUSCO: MUlti-Stage COmpression of neural networks
deep-neural-networks pytorch tensor-decomposition cp-decomposition tucker model-compression network-acceleration model-acceleration truncated-svd network-compression low-rank vbmf
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Feb 16, 2021 - Jupyter Notebook
Resources of our survey paper "A Comprehensive Survey on AI Integration at the Edge: Techniques, Applications, and Challenges"
machine-learning deep-learning awesome-list data-preprocessing efficient-algorithm model-compression edge-computing model-deployment model-acceleration edge-ai tiny-ml model-design model-inference
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Oct 25, 2024
A list of papers, docs, codes about diffusion distillation.This repo collects various distillation methods for the Diffusion model. Welcome to PR the works (papers, repositories) missed by the repo.
awesome deep-learning model-compression distillation model-acceleration diffusion-models lightweight-neural-network
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Dec 10, 2023
Deep Learning Compression and Acceleration SDK -- deep model compression for Edge and IoT embedded systems, and deep model acceleration for clouds and private servers
cloud acceleration compression deep-learning model-compression flow-diagram nvidia-jetson-tx2 embedded-targets model-acceleration
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Mar 17, 2018
(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"
pruning model-compression micronet model-acceleration neurips-2019 micronet-challenge early-exiting adaptive-computation compact-neural-network
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Dec 18, 2022 - Python
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
cnn pytorch bayesopt convolutional-neural-networks bayesian-optimization tensorly tucker model-compression cnn-compression network-acceleration rank-selection model-acceleration neural-network-compression gpyopt low-rank network-compression-acceleration
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Mar 21, 2021 - Python
[IJCNN'19, IEEE JSTSP'19] Caffe code for our paper "Structured Pruning for Efficient ConvNets via Incremental Regularization"; [BMVC'18] "Structured Probabilistic Pruning for Convolutional Neural Network Acceleration"
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Feb 14, 2020 - Makefile
Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.
text-generation batch-processing server-optimization model-serving model-acceleration inference-optimization optimization-techniques machine-learning-operations deep-learning-techniques model-inference-service performance-enhancement scalability-strategies serving-infrastructure large-scale-deployment
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Apr 12, 2024 - Jupyter Notebook
Vision-lanugage model example code.
tutorial example pytorch transformer embedding-models model-acceleration vision-language model-optimization vision-language-model
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Sep 6, 2023 - Python
This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model.
tensorflow quantization model-acceleration openvino model-optimizer model-conversion post-training-quantization
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Oct 6, 2022 - Python
Reduce the model complexity by 612 times, and memory footprint by 19.5 times compared to base model, while achieving worst case accuracy threshold.
lightweight deep-learning tensorflow keras cnn mnist inception ensemble-model model-complexity model-compression memory-footprint mobile-platform model-acceleration 1x1 conv1x1
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Jan 26, 2018 - Jupyter Notebook
On Efficient Variants of Segment Anything Model
model-compression model-acceleration segment-anything-model efficient-backbone light-weight-architecture
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Oct 10, 2024
Binarized Neural Network (BNN) implementation using TensorFlow 2 and PyTorch, with inference using Numpy and C.
ai deep-learning quantization binarization model-compression bnn model-acceleration lightweight-neural-network efficient-deep-learning ebnn
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Sep 18, 2024 - Jupyter Notebook
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