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**)
salesforce/ctrl
Conditional Transformer Language Model for Controllable Generation
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"
evolutionaryscale/esm
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.
evo-design/evo
Biological foundation modeling from molecular to genome scale
jerryji1993/DNABERT
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
instadeepai/nucleotide-transformer
🧬 Nucleotide Transformer: Building and Evaluating Robust Foundation Models for Human Genomics
pinellolab/DNA-Diffusion
🧬 Generative modeling of regulatory DNA sequences with diffusion probabilistic models 💨
Natsu6767/InfoGAN-PyTorch
PyTorch Implementation of InfoGAN
pianomania/infoGAN-pytorch
implement infoGAN using pytorch
lucidrains/ddpm-proteins
A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms
lucidrains/progen
Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
sanderlab/scPerturb
scPerturb: A resource and a python/R tool for single-cell perturbation data
jzhoulab/puffin
deep learning-inspired explainable sequence model for transcription initiation
lucidrains/tf-bind-transformer
A repository with exploration into using transformers to predict DNA ↔ transcription factor binding
calico/borzoi
RNA-seq prediction with deep convolutional neural networks.
AIBreeding/DNNGP
DNNGP: Deep neural network for genomic prediction
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.
YuetongXU/CropGBM
jzhoulab/puffin_manuscript
ni-lab/personalized-expression-benchmark
Evaluating genomic sequence models for explaining personalized expression variation
fengzhanglab/Joung_TFAtlas_Manuscript
xialab-ahu/MLBP
Identifying bioactive peptide function using multi-label deep learning
ZXRush001/SiameseCPP
lijuanYang18/ACPs_generator
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
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.
hartonen/plotMI
Visualize interactions learned by a machine learning model by plotting mutual information between pairwise k-mer distributions
yyzhou-gh/GP-of-CUBIC