cmf1997's Stars
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
itcharge/LeetCode-Py
⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,850+ 道「LeetCode 题目」详细解析,200 道「大厂面试热门题目」。
zylo117/Yet-Another-EfficientDet-Pytorch
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
weiaicunzai/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
microsoft/BioGPT
ozan-oktay/Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
openai/sparse_attention
Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
lucidrains/alphafold3-pytorch
Implementation of Alphafold 3 from Google Deepmind in Pytorch
agemagician/ProtTrans
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
jeya-maria-jose/Medical-Transformer
Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021
kyegomez/AlphaFold3
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
YixinChen-AI/CVAE-GAN-zoos-PyTorch-Beginner
For beginner, this will be the best start for VAEs, GANs, and CVAE-GAN. This contains AE, DAE, VAE, GAN, CGAN, DCGAN, WGAN, WGAN-GP, VAE-GAN, CVAE-GAN. All use PyTorch.
trevismd/statannotations
add statistical significance annotations on seaborn plots. Further development of statannot, with bugfixes, new features, and a different API.
d-li14/efficientnetv2.pytorch
PyTorch implementation of EfficientNetV2 family
gao-lab/GLUE
Graph-linked unified embedding for single-cell multi-omics data integration
bubbliiiing/efficientdet-pytorch
这是一个efficientdet-pytorch的源码,可以用于训练自己的模型。
BiomedicalMachineLearning/stLearn
A novel machine learning pipeline to analyse spatial transcriptomics data
icbi-lab/infercnvpy
Infer copy number variation (CNV) from scRNA-seq data. Plays nicely with Scanpy.
theMILOlab/SPATA2
A Toolbox for Spatial Transcriptomics Analysis
gao-lab/Cell_BLAST
A BLAST-like toolkit for large-scale scRNA-seq data querying and annotation.
carmonalab/GeneNMF
Methods to discover gene programs on single-cell data
GreenleafLab/MPAL-Single-Cell-2019
Publication Page for MPAL Paper 2019
rishabhd786/VAE-GAN-PYTORCH
Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch
TencentAILabHealthcare/DeepAIR
HaojiaWu/CellScopes.jl
A Julia package for single cell and spatial data analysis
yoonsanghyu/AAE-PyTorch
Adversarial autoencoder (basic/semi-supervised/supervised)
yqq-chen/CRC_ICB
demegire/Parameterization-of-Hypercomplex-Multiplications
This is a reproduction of the paper 'Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters' by Ege Demir and Mehmet Barutçu
ruoyan-li/RCC-spatial-mapping
Code relating to http://dx.doi.org/10.2139/ssrn.4132721
cquzys/HisToGene
PyTorch implementation of HisToGene