Scope+: An open source generalizable architecture for single-cell atlases at sample and cell levels

Multi-view clustering with flexible ensemble structures.

🧑‍🏫 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 curated list of Multimodal Related Research.

Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)

Formalizing and benchmarking open problems in single-cell genomics

Code for "MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational Autoencoder" (https://doi.org/10.1021/acs.jcim.2c00487)

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

Modin: Scale your Pandas workflows by changing a single line of code

🔥 Machine Learning Notebooks

PyTorch package for the discrete VAE used for DALL·E.

This repository contains the code for our manuscript - 'The evolution, evolvability, and engineering gene regulatory DNA'

overview of spatial datasets

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

RNAseq mapping pipelines

ORF Quantification pipeline for Alternative Splicing

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

Codes for "Learning Sparse Sharing Architectures for Multiple Tasks"

Sequence-to-Sequence learning using PyTorch

A Collection of Variational Autoencoders (VAE) in PyTorch.

Pytorch implementation of Neural Machine Translation with seq2seq and attention (en-zh)

Contrastive Predictive Coding for Automatic Speaker Verification

Contrastive Variational Autoencoders

script can smoothly apply to goose and duck flu data currently, need to provide header to other label

Machine learning for transportation data imputation and prediction.

Your new Mentor for Data Science E-Learning.