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davis2016-davis2017-davis2019-evaluation

Evaluation Framework for DAVIS 2016/2017/2019 Semi-supervised and Unsupervised used in the DAVIS Challenges

deepsvg

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

epfl-ada-2021

Materials for Applied Data Analysis CS-401, Fall 2021

eth-digihum-t2

The Student Cluster Guide, tutorial 2 of ETH's Digital Humans 2024 course.

fer-deep-learning

Solutions to lab exercises in the "ID222565 Deep Learning" course at UniZG-FER

fer-irg

This repository contains solutions to lab exercises in the Interactive Computer Graphics course at FER.

fer-java-course

This repository contains solutions to lab exercises in the Introduction to Java Programming Language course at FER.

fer-nos

This repository contains solutions to lab exercises in the Advanced Operating Systems course at FER.

fer-ooup

This repository contains solutions to lab exercises in the Design Patterns in Software Design course at FER.

fer-opp

fer-scripting

This repository contains solutions to lab exercises in the Scripting Languages course at FER.

fer-seminar-dipl

This repository contains evaluation scripts used for Masters Seminar course at FER.

fer-tar

"Essays are a Fickle Thing", a project done as part of the "ID222452 Text Analysis and Retrieval" course by Prof. Jan Šnajder at UniZG-FER

fer-ui

This repository contains solutions to lab exercises in the Artificial Intelligence course at FER.

fer_ppj

Compiler for C-like language.

few-shot-cnn-learning

Few-shot learning of deep convolutional models

focal-loss-against-heuristics

Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference

kth-annda

This repository contains solutions to lab exercises in the Artificial Neural Networks and Deep Architectures course at KTH.

kth-dm

Solutions to lab exercises in the Data Mining course at KTH.

kth-ml

Solutions to lab exercises in the Machine Learning course at KTH.

kubric

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

personalize-sam

PerSAM-F with HQ-SAM

pips

This is a somewhat refactored PIPs with a batched chained prediction. It provides the setup to evaluate PIPs on the TAP-Vid dataset. Also, a basic integration of the point trajectories from PIPs (or RAFT) with Sam is provided, to get video segmentation.

python-rvo2

Optimal Reciprocal Collision Avoidance, Python bindings

pytorchradionica2019

Materijali s PyTorch radionice održane 6.10.2019. na Fakultetu elektrotehnike i računarstva

raspitajse2019

“RasPItaj se!” je znanstveno edukativni program u organizaciji Istraživačkog centra mladih namijenjen onima koji se prvi put susreću s programiranjem računala za ugrađene sustave

sam-hq

Fork of HQ-SAM that renames the package from segment_anything to segment_anything_hq. This is done to avoid interference with the original SAM package.

svg-latte

Exploring useful latent representation for SVGs

tapnet