hfukuse's Stars
seandavi/awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
favilaco/deconv_benchmark
Jean-KOUAGOU/1st-place-solution-single-cell-pbs
This repository implements the winning solution for the single cell perturbation problems
chumajin/kaggle-commonlit
kaityo256/python_zero
ゼロから学ぶPython
tubo213/kaggle-child-mind-institute-detect-sleep-states
chanzuckerberg/cellxgene
An interactive explorer for single-cell transcriptomics data
snap-stanford/GEARS
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
welch-lab/MichiGAN
Learning disentangled representations of single-cell data for high-quality generation
KANG-BIOINFO/CellDrift
CellDrift: temporal perturbation effects for single cell data
bunnech/cellot
Learning Single-Cell Perturbation Responses using Neural Optimal Transport
Suryanarayanan-Balaji/GPT-MolBERTa
OmicsML/awesome-deep-learning-single-cell-papers
ecker-lab/sensorium_2023
repo for the sensorium 2023 competition
SYSTRAN/faster-whisper
Faster Whisper transcription with CTranslate2
jzhoulab/puffin
deep learning-inspired explainable sequence model for transcription initiation
tanghaibao/goatools
Python library to handle Gene Ontology (GO) terms
TeamAidemy/ds-paper-summaries
株式会社アイデミーのデータサイエンティストによる論文サマリー
mukamel-lab/robustlink
A python package that links enhancers to genes using single-cell transcriptomes and epigenomes
JackieHanLab/TOSICA
Transformer for One-Stop Interpretable Cell-type Annotation
TencentAILabHealthcare/scBERT
saeyslab/multinichenetr
MultiNicheNet: a flexible framework for differential cell-cell communication analysis from multi-sample multi-condition single-cell transcriptomics data
discus0434/paper-summarizer
A Slack Bot for summarizing arXiv papers, powered by OpenAI LLMs.
milaboratory/mixcr
MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
markub3327/HAR-Transformer
Transformer for Human Activity Recognition
MadhavShashi/Human-Activity-Recognition-Using-Smartphones-Sensor-DataSet
Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.
Sachini/ronin
RoNIN: Robust Neural Inertial Navigation in the Wild
liulab-dfci/TRUST4
TCR and BCR assembly from RNA-seq data
crazyhottommy/TCR-BCR-seq-analysis
T/B cell receptor sequencing analysis notes
terminalai/GaitMonitoringForParkinsonsDiseasePatients
To monitor gait patterns to detect freezing of gait. Done as part of the Singapore Science Mentorship Programme + CS4131 module + extended.