andres-fr Goto Github PK

audio-synch-tool

matplotlib interactive gui to align signals with high precision

awesome-config

Awesome WM config

blender-mvnx-io

Blender add-on for I/O of MVNX MoCap data

caffe

Caffe: a fast open framework for deep learning.

cuda-work

some CUDA scripts to work on GPUs

dcase2021_task6_v2

Code for CVSSP submission to DCASE 2021 Task 6

dcase2021_umaps

Using UMAP to inspect audio anomalies under domain-shift conditions [DCASE2021]

deep-learning-udacity-without-dataset

deeplearning_ai

Notes and content for the courses by deeplearning.ai

deepobs

DeepOBS: A Deep Learning Optimizer Benchmark Suite

dl-frameworks

presentation on current deep learning frameworks

dx7-supercollider

My accurate Yamaha DX-7 clone. Programmed in Supercollider.

elsapy

A Python module for use with Elsevier's APIs: Scopus, ScienceDirect, others.

emacs.d

An Emacs configuration bundle with batteries included

emokine

"EMOKINE: A Kinematic Dataset and Computational Framework for scaling up the Creation of Highly Controlled Emotional Full-Body Movement Datasets"

face_segmentation_pytorch

PyTorch implementation of YuvalNirkin/face_segmentation

fpga-vhdl

contains my work done for the hardware-practicum at the uni

fsd_fed

Federated learning using the FSD50K audio database.

game_of_life_cpp

C++ programming assignment

giantmidi-piano

hpc-exercises

exercises for the "high performance computing" praktikum (Prof. Kisel)

human-renderer

Rendering human poses from sequential data using Python3 and MakeHuman

iamusica_demo

ONSETS&VELOCITIES real-time piano detection - Python demo [EUSIPCO2023]

iamusica_training

ONSETS&VELOCITIES real-time piano detection - PyTorch training [EUSIPCO2023]

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learningscalamaterials

My own work on the materials of the book "Learning Scala", by Jason Swartz. MIT License

machine-learning-coursera

contains my work, notes and certificate on this course: https://www.coursera.org/learn/machine-learning

machinelearning-university

meta-learning-codebrim

Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset": https://arxiv.org/abs/1904.08486