junmeiW

junmeiW's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.1k1.7k45k22.1k

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10k15459788

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.3k18517704

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python7.9k33291990

• karpathy/ng-video-lecture

  Language:Python3.4k5527885

• rosinality/vq-vae-2-pytorch

  Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

  Language:Python1.6k2077270

• deeptools/pyGenomeTracks

  python module to plot beautiful and highly customizable genome browser tracks

  Language:Python75531208111

• jerryji1993/DNABERT

  DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

  Language:Python56814111154

• EugenHotaj/pytorch-generative

  Easy generative modeling in PyTorch.

  Language:Python421143568

• jsxlei/SCALE

  Single-cell ATAC-seq analysis via Latent feature Extraction

  Language:Python9862618

• FunctionLab/sei-framework

  code to run sei and obtain sei and sequence class predictions

  Language:Python908276

• jzhoulab/orca

  sequence-based prediction of multiscale genome structure from kilobase to whole-chromosome scale

  Language:Python743520

• mdozmorov/scHiC_notes

  Notes on single-cell Hi-C technologies, tools, and data

  64218

• tanjimin/C.Origami

  C.Origami, a prediction and screening framework for cell type-specific 3D chromatin structure.

  Language:Python604269

• velocyto-team/velocyto-notebooks

  Language:Jupyter Notebook5581931

• poseidonchan/TAPE

  Deep learning-based tissue compositions and cell-type-specific gene expression analysis with tissue-adaptive autoencoder (TAPE)

  Language:Jupyter Notebook473119

• NYU-BFX/hic-bench

  A set of pipelines for Hi-C and ChIP-Seq analysis.

  Language:HTML43151620

• petitmingchang/TO-GCN

  Pipeline of time-ordered gene coexpression network (TO-GCN) construction from three-dimensional (gene expression, condition, and time) data

  Language:C++3822

• omegahh/DeepHiC

  A GAN-based method for Enhancing Hi-C data

  Language:Python282138

• JinLabBioinfo/HiCorr

  HiCorr: a Hi-C data bias-correction pipeline

  Language:Perl27497

• zhengdafangyuan/HiPore-C

  We developed a protocol of in situ high throughput multi-way contact long read Pore-C sequencing (in situ HiPore-C), a strategy that integrated multi-fragment ligates preparation with third-generation sequencing technology. With HiPore-C approach, we could explore higher-order chromatin interaction genome-widely.

  Language:Jupyter Notebook15193

• PSI-Lab/HiCSR

  HiCSR: a Hi-C super-resolution framework for producing highly realistic contact maps

  Language:Python12412

• yongfanbeta/awesome-multimodal-healthcare

  Reading list for multimodal learning in healthcare

  9201

• ma-compbio/DANGO

  Language:Python7301

• rschwess/deepC

  A neural network framework for predicting the Hi-C chromatin interactions from megabase scale DNA sequence

  Language:HTML7105

• simeoncarstens/ensemble_hic

  Code for the article "Bayesian inference of chromatin structure ensembles from population-averaged contact data" (PNAS, 2020)

  Language:Python5300

• jzhoulab/orca_manuscript

  Language:Jupyter Notebook4201

• NeilAlishev/HiCPredictor

  Predict Hi-C maps from the DNA sequence using deep convolutional neural networks

  Language:Jupyter Notebook4500

• koritsky/DL2021_HI-C

  Language:Jupyter Notebook3201

• Yihai-Luo/pytorch-lightning-template

  An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.

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