Heisenburger2020
Now working on AI for protein mass spectrum. Welcome to chat. Email: marshmallowzjl@gmail.com
Institute of Computing Technology-pFind
Heisenburger2020's Stars
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
salesforce/BLIP
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
evolutionaryscale/esm
wangkai930418/awesome-diffusion-categorized
collection of diffusion model papers categorized by their subareas
schrodinger/pymol-open-source
Open-source foundation of the user-sponsored PyMOL molecular visualization system.
a-r-j/graphein
Protein Graph Library
LTH14/mar
PyTorch implementation of MAR+DiffLoss https://arxiv.org/abs/2406.11838
kyegomez/AlphaFold3
Implementation of Alpha Fold 3 from the paper: "Accurate structure prediction of biomolecular interactions with AlphaFold3" in PyTorch
ermongroup/ncsn
Noise Conditional Score Networks (NeurIPS 2019, Oral)
songlab-cal/tape
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
biotite-dev/biotite
A comprehensive library for computational molecular biology
jy0205/LaVIT
LaVIT: Empower the Large Language Model to Understand and Generate Visual Content
cvignac/DiGress
code for the paper "DiGress: Discrete Denoising diffusion for graph generation"
doujiang-zheng/Graph-Learning-Reading-List
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
LitterBrother-Xiao/Overview-of-Non-autoregressive-Applications
valeoai/Maskgit-pytorch
plinder-org/plinder
Protein Ligand INteraction Dataset and Evaluation Resource
wangyuchi369/LaDiC
[NAACL 2024] LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-text Generation?
aslarsen/PhAI
PiotrKlukowski/ARTINA
Heisenburger2020/Vabs-Net
Vabs-Net: Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
PoloWlg/Joint-Multimodal-Transformer-6th-ABAW
xiaoxiaokuye/ICML_2024_ai4sci_paper
Ming-er/MGA-CLAP
official implementation of MGA-CLAP (ACM MM 2024)
PDB-REDO/density-fitness
Application to calculate the density statistics (RSR, SRSR, RSCCS, EDIAm and OPIA) for x-ray structures
Camel-Prince/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
sciadopitys/CrysFormer
sciadopitys/patterson_map