This repository is created for on-device real time hand segmentation in video footage.
-
Updated
Jan 18, 2022 - Jupyter Notebook
This repository is created for on-device real time hand segmentation in video footage.
The original experiments code for AAAI 2020 paper, "AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates"
PyTorch models optimization by neural network pruning
Implementation of Adversarial Training for BERT and BERT-Like Models and Analysis of effects of model compression on Robustness of a model
Code Implementation of On Model Compression for Neural Networks: Framework, Algorithm, and Convergence Guarantee
Cut models not trees 🌳
Compressed CNNs for airplane classification in satellite images (APoZ-based parameter pruning, INT8 weight quantization)
[ICLR 2022] Code for paper "Exploring Extreme Parameter Compression for Pre-trained Language Models"(https://arxiv.org/abs/2205.10036)
Brute Force Architecture Search
About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)
Industry 4.0 collaborations with Control2K, for using AI on IOT devices to analyse factory machinery
deep learning model compression with pruning
Versioning System for Online Learning systems (VSOL)
Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”
A flexible utility for converting tensor precision in PyTorch models and safetensors files, enabling efficient deployment across various platforms.
Recent Advances on Efficient Vision Transformers
Iterative Training: Finding Binary Weight Deep Neural Networks with Layer Binarization
analysing Model Pruning and Unit Pruning on a large dense MNIST network
Pruning System in Keras for a Deeper Look Into Convolutions
Add a description, image, and links to the model-compression topic page so that developers can more easily learn about it.
To associate your repository with the model-compression topic, visit your repo's landing page and select "manage topics."