SPYfighting
I am a student majoring in biology. I hope to learn more knowledge and make more friends on github.
SPYfighting's Stars
meilerlab/HyperMPNN
HyperMPNN ‒ A general strategy to design thermostable proteins learned from hyperthermophiles
Kortemme-Lab/flex_ddG_tutorial
bytedance/Protenix
A trainable PyTorch reproduction of AlphaFold 3.
martinpacesa/BindCraft
User friendly and accurate binder design pipeline
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
HICAI-ZJU/KnowRLM
fhalab/MLDE
A machine-learning package for navigating combinatorial protein fitness landscapes.
baal-org/baal
Bayesian active learning library for research and industrial usecases.
alibaba/LucaProt
LucaProt: A novel deep learning framework that incorporates protein amino acid sequence and structural information to predict protein function.
hwanz/SSR-V2ray-Trojan-vpn
免费机场公益机场收集/免费vpn-定时更新
rsennrich/subword-nmt
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
chandar-lab/AMPLIFY
maovshao/PLMSearch
PLMSearch enables accurate and fast homologous protein search with only sequences as input
maovshao/PLMAlign
PLMAlign utilizes per-residue embeddings as input to obtain specific alignments and more refined similarity
bzho3923/CPDiffusion
westlake-repl/ProTrek
ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
Ligo-Biosciences/AlphaFold3
Open source implementation of AlphaFold3
ml4bio/Dense-Homolog-Retrieval
Nature Biotechnology: Ultra-fast, sensitive detection of protein remote homologs using deep dense retrieval
idmjky/EvolvePro
PLM based active learning model for protein engineering
mat10d/EvolvePro
This is the offical codebase to reproduce and use EVOLVEpro, a model for in silico directed evolution of protein activities using few-shot active learning.
ai4protein/Pro-FSFP
Pro-FSFP: Few-Shot Protein Fitness Prediction
ShiArthur03/ShiArthur03
OATML-Markslab/ProteinNPT
Official code repository for the paper "ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers"
ml4bio/USPNet
Nature Computational Science: Unbiased organism-agnostic and highly sensitive signal peptide predictor with deep protein language model
westlake-repl/ProteinLM-TDG2-Mutation
Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing
Eikor/InstructPLM
The first large protein language model trained follows structure instructions.
microsoft/protein-transfer
microsoft/evodiff
Generation of protein sequences and evolutionary alignments via discrete diffusion models
Peldom/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
luo-group/ConFit
Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape