dong97338's Stars
microsoft/graphrag
A modular graph-based Retrieval-Augmented Generation (RAG) system
microsoft/BitNet
Official inference framework for 1-bit LLMs
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
xjdr-alt/entropix
Entropy Based Sampling and Parallel CoT Decoding
buaacyw/MeshAnything
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
Tongji-KGLLM/RAG-Survey
ContinualAI/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
XiangLi1999/Diffusion-LM
Diffusion-LM
AMLab-Amsterdam/AttentionDeepMIL
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
aspuru-guzik-group/selfies
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
aspuru-guzik-group/chemical_vae
Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow
dvlab-research/Step-DPO
Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"
garydoranjr/misvm
Multiple-Instance Support Vector Machines
dmlguq456/SepReformer
Official repository of SepReformer for speech separation
google-deepmind/loft
LOFT: A 1 Million+ Token Long-Context Benchmark
hrzhang1123/DTFD-MIL
zjunlp/MolGen
[ICLR 2024] Domain-Agnostic Molecular Generation with Chemical Feedback
usc-isi-i2/cskg
CSKG: The CommonSense Knowledge Graph
histocartography/zoommil
ZoomMIL is a multiple instance learning (MIL) method that learns to perform multi-level zooming for efficient Whole-Slide Image (WSI) classification.
Rose-STL-Lab/LIMO
generative model for drug discovery
dmis-lab/self-biorag
ISMB'24 "Self-BioRAG: Improving Medical Reasoning through Retrieval and Self-Reflection with Retrieval-Augmented Large Language Models"
aiforsec/LADDER
mims-harvard/PDGrapher
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
maovshao/PLMAlign
PLMAlign utilizes per-residue embeddings as input to obtain specific alignments and more refined similarity
dmis-lab/ANGEL
Learning from Negative samples for Biomedical Generative Entity Linking
dmis-lab/cookingsense
CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions (LREC-COLING 2024)
Deno-V/tgm-dlm
Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model
hoyso48/Stanford---Ribonanza-RNA-Folding-2nd-place-solution
francescoferrini/MPGNN-Metapath-Graph-Neural-Network
snuhcc/hcc_kyochul_langchain_practice