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Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

  • linkedin
  • quiz-questions
  • answers
  • assessment

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

  • community-detection
  • graph-clustering
  • deepwalk
  • networkx

Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

The Swiss-Army-knife command-line tool for plotter vector graphics.

  • generative-art
  • pen-plotters
  • svg
  • vector-graphics

OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)

  • 3d-lidar
  • loop-closure-detection
  • slam
  • lidar

Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

  • self-attention
  • compound-protein-interaction
  • transformercpi
  • structure-free-virtual-sreening

Winner of the Golem Gitcoin Hackathon 2020 (https://blog.golemproject.net/meet-the-winners-golem-gitcoin-hackathon-2020/). This app lets people design, simulate, and analyse antenna arrays without the need to utilize commercial and expensive applications.

  • golem

Code and data for the paper "Evaluating German Transformer Language Models with Syntactic Agreement Tests" (Zaczynska et al., 2020)