Neil Scheidwasser (Neclow)

Neclow

User data from Github https://github.com/Neclow

Company:University of Copenhagen

Location:Copenhagen, Denmark

Home Page:neclow.github.io

GitHub:@Neclow

Twitter:@handahofi


Organizations
MLGlobalHealth

Neil Scheidwasser's repositories

SERAB

SERAB: a multi-lingual benchmark for speech emotion recognition

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GradME

Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees

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phylo2vec_cpp

Phylo2Vec: a vector representation for binary trees (stripped-down version in C++)

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phylo2vec_dev

Phylo2Vec: new developments (C++, Julia)

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dlc4ecoli

Deep learning from videography as a tool for measuring infection in poultry (under review)

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phylo2vec_preprint

Phylo2Vec: A vector representation of binary trees

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preprint_template

Another arXiv/bioRxiv template, inspired by many others

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alphafold

Open source code for AlphaFold.

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ColabFold

Making Protein folding accessible to all!

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d3a_fairness_hackathon

D3A Conference: Algorithmic Fairness Hackathon

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DeepLabCut

Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

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hammingdist

Calculates pairwise distances between gene sequences given in fasta format

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hear-eval-kit

Evaluation kit for HEAR 2021 NeurIPS competition

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Neclow

Config files for my GitHub profile.

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neclow.github.io

Github Pages template for academic personal websites, forked from mistakes/minimal-mistakes

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openfold

Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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PyTorch-Model-Compare

Compare neural networks by their feature similarity (for Wav2Vec2/XLS-R models)

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sars_cov2_290k_denmark

High-Resolution Epidemiological Landscape from 290K SARS-CoV-2 Genomes from Denmark (under review)

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SEA-RAFT

[ECCV2024 - Oral, Best Paper Award Candidate] SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow

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speechbrain

A PyTorch-based Speech Toolkit

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starter-hugo-research-group

👥 轻松创建研究组或组织网站 Create a stunning Research Group, Team, or Organization Website with Hugo

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statannotations

add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.

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Tracking-Anything-with-DEVA

[ICCV 2023] Tracking Anything with Decoupled Video Segmentation

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yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

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