Jelena Bratulić's repositories
DL_framework
Basic framework and cheat sheets for Deep Learning experiments with PyTorch
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
ML_FER
Laboratory exercises from the course Machine Learning at the Faculty of Electrical Engineering and Computing in 2020/2021
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.
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)
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)