kaixuanDeng95

kaixuanDeng95's Stars

• yangjianxin1/GPT2-chitchat

  GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI**)

  Language:Python3k41118679

• salesforce/ctrl

  Conditional Transformer Language Model for Controllable Generation

  Language:Python1.9k6478208

• theislab/single-cell-tutorial

  Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

  Language:Jupyter Notebook1.3k45101449

• evolutionaryscale/esm

  Language:Python1.1k2169120

• 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.

  Language:Jupyter Notebook1.1k32146152

• evo-design/evo

  Biological foundation modeling from molecular to genome scale

  Language:Jupyter Notebook9211846108

• jerryji1993/DNABERT

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

  Language:Python56514111154

• instadeepai/nucleotide-transformer

  🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics

  Language:Python440225451

• pinellolab/DNA-Diffusion

  🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨

  Language:Python3561211949

• Natsu6767/InfoGAN-PyTorch

  PyTorch Implementation of InfoGAN

  Language:Python3216882

• pianomania/infoGAN-pytorch

  implement infoGAN using pytorch

  Language:Python1515232

• lucidrains/ddpm-proteins

  A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

  Language:Python1334019

• lucidrains/progen

  Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax

  Language:Python1088417

• sanderlab/scPerturb

  scPerturb: A resource and a python/R tool for single-cell perturbation data

  Language:Jupyter Notebook995266

• jzhoulab/puffin

  deep learning-inspired explainable sequence model for transcription initiation

  Language:Python851106

• lucidrains/tf-bind-transformer

  A repository with exploration into using transformers to predict DNA ↔ transcription factor binding

  Language:Python81809

• calico/borzoi

  RNA-seq prediction with deep convolutional neural networks.

  Language:Python7541410

• AIBreeding/DNNGP

  DNNGP: Deep neural network for genomic prediction

  Language:Python5341120

• shizhuoxing/scISA-Tools

  single-cell-Isoform-Sequencing-Analysis-Tools: New and powerful tools brings single-cell RNA sequencing to the Isoform level and single molecule resolution.

  Language:Perl24131

• YuetongXU/CropGBM

  Language:Python24236

• jzhoulab/puffin_manuscript

  Language:Jupyter Notebook14114

• ni-lab/personalized-expression-benchmark

  Evaluating genomic sequence models for explaining personalized expression variation

  Language:Jupyter Notebook13252

• fengzhanglab/Joung_TFAtlas_Manuscript

  Language:Python8301

• xialab-ahu/MLBP

  Identifying bioactive peptide function using multi-label deep learning

  Language:Python8004

• ZXRush001/SiameseCPP

  Language:Python7131

• lijuanYang18/ACPs_generator

  Language:Python510

• MariaFelipe-Lucia/biodiversity-function-services_networks

  R script used to perform the analyses from Felipe-Lucia et al. 2020 PNAS. Land-use intensity alters biodiversity - ecosystem function - service networks

  Language:R5101

• SQ-Gao/TRAmHap

  TRAmHap is a novel deep-learning framework, which predicts transcriptional activity using characteristics of DNA methylation haplotypes in proximal promoters and enhancers as far as 25 kb away from TSS.

  Language:Python3301

• hartonen/plotMI

  Visualize interactions learned by a machine learning model by plotting mutual information between pairwise k-mer distributions

  Language:Python2101

• yyzhou-gh/GP-of-CUBIC

  Language:R1100