m43

eth-digihum-t2

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

focal-loss-against-heuristics

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

svg-latte

Exploring useful latent representation for SVGs

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

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.

vo2021

Robustness of Embodied Point Navigation Agents: Codebase of the VO2021 agent

AutoBots

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

fer-deep-learning

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

kth-annda

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

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-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.

few-shot-cnn-learning

Few-shot learning of deep convolutional models

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

Python-RVO2

Optimal Reciprocal Collision Avoidance, Python bindings

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.

tapnet

Trajectron_plus_plus

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ucu-mlab

Robustness of Embodied Point Navigation Agents: Codebase of the UCU Mlab agent and the baselines

XDEnsembles

Robustness via Cross-Domain Ensembles

youtubevos-cocoapi

COCO API Customized for YouTubeVIS evaluation