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academicpages-mkdocs

Foss'23 spring learning

aimedicinecoursera

My solution to the Ai for medicine specialization

airformer

PyTorch implementation of AirFormer, AAAI-23

alphafold

Open source code for AlphaFold to extract protein embeddings

ards-definitions

awesome-ehr-deeplearning

Curated list of awesome papers for electronic health records(EHR) mining, machine learning, and deep learning.

awesome-gnn4ts

📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759

bartsmiles

BARTSmiles, generative masked language model for molecular representations

bert_emotion

blendedicu

cogs510

contralsp

[ICLR'24] Official PyTorch Implementation of ContraLSP

copd-hypoxemia

coxnnet_py3

coxnnet v1 and v2 models updated to work with Python3.

deep_crispcut

Interpreting Off-target / Target sequences for crispr cas9 experiments

deepinsight_py

Python implementation of the DeepInsight algorithm

deeplearninglifesciences

Following the code from the book "Deep Learning for the Life Sciences" and implementing it in Google Colab

deeplncloc

A deep learning-based lncRNA subcellular localization predictor

dnabert

DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

dnndr

dsf-compendium-sy

Template research compendium for the Data Science Institute Data Science Fellows

dstg

Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence

dynamask

This repository contains the implementation of Dynamask, a method to identify the features that are salient for a model to issue its prediction when the data is represented in terms of time series. For more details on the theoretical side, please read our ICML 2021 paper: 'Explaining Time Series Predictions with Dynamic Masks'.

example-notebooks

examples for using Neurodesk within Notebooks

featuretimeattention

Code for AMIA 2023 Poster

foss

rendered MkDocs webpages:

foss23reptut

genn_adex

Implementation of Adaptive Exponential Integrate and Fire model on GeNN and Honey Bee mushroom body simulations

gml2023

Graph Machine Learning course, Xavier Bresson, 2023

graph-spa