Zhang-kaifeng's Stars
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。
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, ... 🧠
google-research/google-research
Google Research
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
guofei9987/scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
snap-stanford/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
yzy1996/English-Writing
Enhance Your English Writing for Science Research 写论文英语素材
wehos/awesome-graph-transformer
Papers about graph transformers.
lightaime/deep_gcns
Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org
snap-stanford/GraphRNN
sangyx/gtrick
Bag of Tricks for Graph Neural Networks.
kchengiva/Shift-GCN
The implementation for "Skeleton-Based Action Recognition with Shift Graph Convolutional Network" (CVPR2020 oral).
jocpae/VesselGraph
NU-CUCIS/ElemNet
Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction
superlouis/GATGNN
Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction
tuhinsharma121/federated-ml
Detect anomalies in network traffic data using Federated Machine Learning technique.
MGEdata/SuperalloyDigger
The functions of superalloyDigger toolkit include batch downloading documents in XML and TXT format from the Elsevier database, locating target sentences from the full text and automatically extracting triple information in the form of <material name, property specifier, value>.
marblet/GCNmf
PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"
balcilar/gnn-matlang
Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
Tinystormjojo/geo-CGNN
gomes-lab/Mat2Spec
albert-espin/snn-clustering
Shared Nearest Neighbor Clustering Algorithm: Implementation and Evaluation
superlouis/NODE-SELECT
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique
IsakFalk/atomistic_transfer_mekrr
Transfer learning for atomistics systems using GNNs and Kernel Mean Embeddings
ihalage/Finder
Formula graph self-attention network for representation-domain independent materials discovery (Finder)
zhanzghang/Integrated-ML-model-Superconductors-data
kong614/Machine-Learning-1
:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归