Repository to track the progress in model compression and acceleration
☆107Jun 19, 2021Updated 5 years ago
Alternatives and similar repositories for model-compression-and-acceleration-progress
Users that are interested in model-compression-and-acceleration-progress are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access☆16Mar 21, 2021Updated 5 years ago
- papers about model compression☆166Feb 10, 2023Updated 3 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Nov 15, 2020Updated 5 years ago
- Code for EDLCV 2020 paper "Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Spa…☆21Apr 18, 2020Updated 6 years ago
- Model compression by constrained optimization, using the Learning-Compression (LC) algorithm☆71Nov 23, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Aug 14, 2021Updated 5 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 5 years ago
- This repo is an implementation of quantized CNN for both weights (1-bit compression) and feature maps (2-bit compression).☆18Aug 22, 2018Updated 8 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆165Mar 8, 2020Updated 6 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆265Nov 11, 2021Updated 4 years ago
- A curated list of neural network pruning resources.☆2,497Apr 4, 2024Updated 2 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,512Jun 7, 2020Updated 6 years ago
- Summary, Code for Deep Neural Network Quantization☆564Sep 1, 2026Updated 3 weeks ago
- Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction☆10May 25, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Deep Boosting for Image Denoising (ECCV 2018)☆16Nov 3, 2018Updated 7 years ago
- Papers for deep neural network compression and acceleration☆401Jun 21, 2021Updated 5 years ago
- Pytorch ImageNet training codes with various tricks, lr schedulers, distributed training, mixed precision training, DALI dataloader etc.☆18Aug 12, 2020Updated 6 years ago
- The official implementation of "NAS-BNN: Neural Architecture Search for Binary Neural Networks"☆14Aug 30, 2024Updated 2 years ago
- Network acceleration methods☆178Jun 19, 2021Updated 5 years ago
- SIEVE: Multimodal Dataset Pruning using Image-Captioning Models (CVPR 2024)☆21Apr 28, 2024Updated 2 years ago
- An implementation of a BinaryConnect network for cifar10☆11Nov 4, 2019Updated 6 years ago
- Pruning methods for pytorch with an optimizer-like interface☆15Apr 14, 2020Updated 6 years ago
- Deep convolutional tensor network☆11Sep 29, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A research library for pytorch-based neural network pruning, compression, and more.☆163Nov 28, 2022Updated 3 years ago
- AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.☆2,713Updated this week
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆16Jan 5, 2021Updated 5 years ago
- Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method☆25May 25, 2020Updated 6 years ago
- This is an official implementation of our CVPR 2020 paper "Non-Local Neural Networks With Grouped Bilinear Attentional Transforms".☆13Jan 30, 2021Updated 5 years ago
- ☆31Jun 18, 2020Updated 6 years ago
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆168Jun 4, 2020Updated 6 years ago
- PyTorch and Torch implementation for our accepted CVPR 2020 paper (Oral): Controllable Orthogonalization in Training DNNs☆24Jan 19, 2021Updated 5 years ago
- MLPruning, PyTorch, NLP, BERT, Structured Pruning☆20Jun 29, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Collection of recent methods on (deep) neural network compression and acceleration.☆957Apr 4, 2025Updated last year
- ☆15Apr 11, 2024Updated 2 years ago
- Awesome machine learning model compression research papers, quantization, tools, and learning material.☆547Sep 21, 2024Updated 2 years ago
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆185Mar 28, 2021Updated 5 years ago
- Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models☆35Jun 19, 2023Updated 3 years ago
- PyTorch Model Compression☆233Jan 27, 2023Updated 3 years ago
- Implemention of the paper "Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework"☆13Sep 23, 2021Updated 5 years ago