jelenab98

DL_framework

Basic framework and cheat sheets for Deep Learning experiments with PyTorch

APR_FER

Laboratory exercises from the course Computer Aided Analysis and Design at Faculty of Electrical Engineering and Computing in 2020/2021

APUW_FER

Arhitektura, protokoli i usluge u Webu.

Bachelor_FER

Bachelor thesis "Semantic segmentation of road lanes" under the mentorship of prof. Siniša Šegvić, PhD

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

DL_FER

Laboratory exercises from the course Deep Learning at Faculty of Electrical Engineering and Computing in Academic Year 2020/2021.

ML_FER

Laboratory exercises from the course Machine Learning at the Faculty of Electrical Engineering and Computing in 2020/2021

NENR_FER

Laboratory exercises from the course Fuzzy, Evolutionary and Neuro-Computing at Faculty of Electrical Engineering and Computing in 2020/2021

SAP_FER

Project from the course Statistical Data Analysis at the Faculty of Electrical Engineering and Computing in 2019/2020.

UI_FER

Laboratory exercises from the course Artificial Intelligence at the Faculty of Electrical Engineering and Computing in 2019/2020.

IRG_FER

Laboratory exercises from the course Interactive Computer Graphics at the Faculty of Electrical Engineering and Computing in 2019/2020

jelenab98

My personal repository

jelenab98.github.io

Github Page, template forked from academicpages.

KPConv-PyTorch

Kernel Point Convolution implemented in PyTorch

MonoDepth

Different loss functions and architectures for MonoDepth tested on KITTI dataset.

NASP_FER

Laboratory exercises from the course Advanced Algorithms and Data Structures at Faculty of Electrical Engineering and Computing in 2020/2021

NLP_FER

NOS_FER

Laboratory exercises from the course Advanced Operating Systems at Faculty of Electrical Engineering and Computing in Academic Year 2020/2021

SemanticSegmentation

Evaluation of different architectures for Semantic Segmentation on datasets Camvid and LLAMAS.

SemSeg_Pruning

Pruning methods tested on different deep models for semantic segmentation.

SensatUrban

🔥Urban-scale point cloud dataset (CVPR 2021 & IJCV 2022)

structured_pruning

swiftnet

torch-points3d

Pytorch framework for doing deep learning on point clouds.

Torch-Pruning

A pytorch pruning toolkit for structured neural network pruning and layer dependency maintaining.

YOLOv3-model-pruning

在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）