ShaolunYao's Stars
CausalLearning/llm_benchmarks
tanganke/fusion_bench
FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion
zju-vipa/Odyssey
Odyssey: Empowering Minecraft Agents with Open-World Skills
hantang/latex-templates
A collection of awesome LaTeX Thesis/Dissertation templates and beyond! (LaTeX / Word / Typst / Markdown 格式的学位论文、演示文稿、报告、项目申请书、简历、书籍等模板收藏)
TheNetAdmin/zjuthesis
Zhejiang University Graduation Thesis LaTeX Template
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Graph-and-Geometric-Learning/MolGroup
Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023
aigc-apps/sd-webui-EasyPhoto
📷 EasyPhoto | Your Smart AI Photo Generator.
QwenLM/Qwen
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
WeiHongLee/Awesome-Multi-Task-Learning
An up-to-date list of works on Multi-Task Learning
SimonVandenhende/Awesome-Multi-Task-Learning
A list of multi-task learning papers and projects.
ZJULearning/graph_level_drug_discovery
median-research-group/LibMTL
A PyTorch Library for Multi-Task Learning
zhao-ht/GIMLET
The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
zhiqiangzhongddu/KDD2023_KaGML_DrugDiscovery_Tutorial
Materials for KDD2023 tutorial: Knowledge-augmented Graph Machine Learning for Drug Discovery: from Precision to Interpretability
labmlai/annotated_deep_learning_paper_implementations
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awslabs/dgl-lifesci
Python package for graph neural networks in chemistry and biology
thuml/Batch-Spectral-Shrinkage
Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
divelab/AIRS
Artificial Intelligence Research for Science (AIRS)
doujiang-zheng/Graph-Learning-Reading-List
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
OpenBioML/chemnlp
ChemNLP project
KarolisMart/DropGNN
The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
jeah-z/Drug-Solubility-Prediction-Mordred
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
priba/nmp_qc
Our own implementation of Neural Message Passing for Computer Vision paper
brain-research/mpnn
Open source implementation of "Neural Message Passing for Quantum Chemistry"