GANs with spectral normalization and projection discriminator

Must-read papers on graph neural networks (GNN)

A list of all named GANs!

starter from "How to Train a GAN?" at NIPS2016

程序员延寿指南 | A programmer's guide to live longer

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

A Python-based compendium of GPU-optimized aging clocks.

A Deep Learning Python Toolkit for Healthcare Applications.

Survival analysis in Python

Memory Efficient Attention (O(sqrt(n)) for Jax and PyTorch

单细胞分析的中文pipeline

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Deep-Learning framework for multi-omic and survival data integration

A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).

Formalizing and benchmarking open problems in single-cell genomics

A hyperparameter optimization framework

Artificial Intelligence Research for Science (AIRS)

Pytorch implementation of Improved Deep Embedded Clustering

Python package built to ease deep learning on graph, on top of existing DL frameworks.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

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《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases