zhaojingtong1231's Stars
Elegycloud/clash-for-linux-backup
基于Clash Core 制作的Clash For Linux备份仓库 A Clash For Linux Backup Warehouse Based on Clash Core
wanghan79/2024_Python_Master
geoopt/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
wjzhengnlp/HypHKGE
Hyperbolic Hierarchical Knowledge Graph Embeddings for link prediction in Low Dimensions
HKUDS/Awesome-LLM4Graph-Papers
[KDD'2024 Survey+Tutorial] "LLM4Graph: A Survey of Large Language Models for Graphs"
alibaba/GraphTranslator
GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
HazyResearch/hgcn
Hyperbolic Graph Convolutional Networks in PyTorch.
marlin-codes/Awesome-Hyperbolic-Representation-and-Deep-Learning
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
acboyty/WGCL
lifanchen-simm/transformerCPI2.0
Sequence-to-drug concept adds a perspective on drug design. It can serve as an alternative method to SBDD, particularly for proteins that do not yet have high-quality 3D structures available.
mindspore-ai/mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
microsoft/Drug-Interaction-Research
NENUBioCompute/PharmData
data parsing
sheldonresearch/ProG
A Unified Python Library for Graph Prompting
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
MLNLP-World/DeepLearning-MuLi-Notes
Notes about courses Dive into Deep Learning by Mu Li
mli/paper-reading
深度学习经典、新论文逐段精读
Sinwang404/DeepDDs
BUPT-GAMMA/OpenHGNN
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
QuJing785464/TMP_MIBS
Data and code used to train the TMP_MIBS model.
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
google-research/bert
TensorFlow code and pre-trained models for BERT
PaddlePaddle/PGL
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
PaddlePaddle/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PaddlePaddle/PaddleHelix
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Raj725/XmlSaxPython
Python project to parse big xml files with SAX