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Xiamen University
- Xiang’an District, Xiamen
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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A lightweight library for PyTorch training tools and utilities
A best practice for deep learning project template architecture.
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
RNAseq analysis notes from Ming Tang
Official repository of Agent Attention (ECCV2024)
Customizable workflows based on snakemake and python for the analysis of NGS data
Code for Mastering Python for Bioinformatics (O'Reilly, 2021, ISBN 9781098100889)
pytorch implementation for "RNA Secondary Structure Prediction By Learning Unrolled Algorithms"
Accurate and rapid RiboRNA sequences Detector based on deep learning
High-quality circular representations of taxonomic and phylogenetic trees
A short tutorial on getting started with Snakemake for workflow management
Examplary code for NN, MFNN, DynNet, PINNs and CNN
A Python package for microbiome sequencing analysis with QIIME 2
PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diagnosis" by Wang et al.
Pipeline for functional annotation of genomes by integrating data from RNA-seq, ChIP-seq, DNase-seq, etc.
Snakemake pipeline for 16S, 18S and ITS metagenomics using qiime2
MutView is a tool to look the reads cover a mutation in bam file, output file is html format, just like a lightweight IGV(Integrative Genomics Viewer).
Simple 1d CNNs or Temporal Convolutional Networks in pytorch
Materials for "RNA secondary structure prediction with Convolutional Neural Networks" published in BMC Bioinformatics.
#LSTM #1D CNN #GAN #Stock Prediction #Indicators #AMD #FinanceDataReader #Crawling
Comparative Study of Deep Learning LSTM and 1D-CNN Models for Real-time Flood Prediction in Red River of the North, USA