minuscule's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
100-Days-Of-ML-Code-1
100-Days-Of-ML-Code中文版
annotated_deep_learning_paper_implementations
🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback, vit), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, distillation, etc.
benchmarking-gnns
Repository for benchmarking graph neural networks
DCC
This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper
deep-learning-gene-expression
Deep learning methods for feature selection in gene expression autism data.
Deep-Learning-With-Python
《Python深度学习》书籍代码
Deep-Residual-Shrinkage-Networks
The deep residual shrinkage network is a variant of deep residual networks.
DesktopNaotu
桌面版脑图 (百度脑图离线版，思维导图) 跨平台支持 Windows/Linux/Mac OS. (A cross-platform multilingual Mind Map Tool)
dgcnn.pytorch
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
drawio-desktop
Official electron build of diagrams.net
genomics-analysis-pipeline
Some useful bioinformatics pipelines for genomics analysis
ipybd
Powerful Data Cleaner For Biodiversity
Little-Bootstraps
Fast and accurate bootstrap confidence limits on genome-scale phylogenies using little bootstraps
longformer
Longformer: The Long-Document Transformer
markdown-plus-plus
Markdown syntax highlighting for Notepad++, by customized UDL file (user defined language)
nfnets-pytorch
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
nlp-ml-dl-notes
自然语言处理、机器学习、深度学习笔记
ohana
mixture classification, constraint optimization, outlier detection, population structure, admixture history, and selection detection.
PhyloDL
Phylogenetic deep learning project under supervision of Dr. Luay Nakhleh
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Swin-Unet
The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
transformer-cifar10
comparison among resnet, vision transformer and visual transformer on the cifar-10 dataset.