deep-compression

[IV2022] Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of corresponding IEEE IV22 paper.

Code for IJCAI2019 paper

Unofficial Pytorch implementation of Deep Compression in CIFAR10

Deep Compression for PyTorch Model Deployment on Microcontrollers

Efficient Deep Learning for Real-time Classification of Astronomical Transients and Multivariate Time-series

Reducing the computational overhead of Deep CNNs through parameter pruning and tensor decomposition.

Compact Image Captioning (CoCA) is an open source image captioning project to promote Green Computer Vision, as well as to make image captioning research accessible to universities, research labs and individual practitioners with limited financial resources.

NIPS Paper Implementation

Experimental framework for approximate computing on CNNs: pruning, quantization, sparsity analysis on ResNet-18 and MobileNetV2.

Utility Scripts and Procedures for Preparing Dataset for Learned Image Compression

Coursework including Deep Compression, DQN, Optimization Algorithms and more

Deep Compression study for Edge AI on Microplastic Classification

Graduate Coursework Projects