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The Top 23 Model Compression Open Source Projects

Open source projects categorized as Model Compression
Categories > Machine Learning > Model Compression
Cop ⭐ 36
Code for IJCAI2019 paper
most recent commit 5 years ago
Lc Model Compression ⭐ 34
Model compression by constrained optimization, using the Learning-Compression (LC) algorithm
most recent commit 2 years ago
Dlcv2018spring ⭐ 32
Deep Learning for Computer Vision (CommE 5052) in NTU
most recent commit 4 years ago
Efficient Bert ⭐ 31
This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".
most recent commit a year ago
Smile Pruning ⭐ 30
A generic code base for neural network pruning, especially for pruning at initialization.
most recent commit 2 years ago
Model_compression ⭐ 28
deep learning model compression based on keras
most recent commit 6 years ago
Regularization Pruning ⭐ 28
[ICLR'21] PyTorch code for our paper "Neural Pruning via Growing Regularization"
most recent commit 3 years ago
Qsparse ⭐ 27
Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules
most recent commit 2 years ago
Esnac ⭐ 25
Learnable Embedding Space for Efficient Neural Architecture Compression
most recent commit 5 years ago
Yolov5 Distillation Train Inference ⭐ 24
Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据
most recent commit 3 years ago
Fastpose ⭐ 24
pytorch realtime multi person keypoint estimation
most recent commit 5 years ago
Cnn Compression Performance ⭐ 24
A python script that automatise the training of a CNN, compress it through tensorflow (or ristretto) plugin, and compares the performance of the two networks
most recent commit 4 years ago
Lpbox Admm ⭐ 22
A generic optimization method for any integer programming problem
most recent commit 3 years ago
Lossless_compression ⭐ 21
We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK as the original (dense and unquantized) network, with its weights and activations taking values only in {0, 1, -1} up to scaling.
most recent commit 6 months ago
Tpp ⭐ 21
[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)
most recent commit a year ago
Why The State Of Pruning So Confusing ⭐ 20
[Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
most recent commit a year ago
Slimnets ⭐ 20
Various implementations and experimentation for deep neural network model compression
most recent commit 6 years ago
Auto Compression ⭐ 20
Automatic DNN compression tool with various model compression and neural architecture search techniques
most recent commit 4 months ago
Squeezer ⭐ 18
Lightweight knowledge distillation pipeline
most recent commit 2 years ago
Awesome Ai On The Edge ⭐ 18
Resources of our survey paper "Enabling AI on Edges: Techniques, Applications and Challenges"
most recent commit 9 months ago
Structured Bayesian Pruning Pytorch ⭐ 18
pytorch implementation of Structured Bayesian Pruning
most recent commit 6 years ago
Xcompression ⭐ 17
[ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)
most recent commit a year ago
Research Paper Summaries ⭐ 17
A directory with some interesting research paper summaries in the field of Deep Learning
most recent commit 6 years ago
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