jinyuhang's Stars
slundberg/shap
A game theoretic approach to explain the output of any machine learning model.
microsoft/recommenders
Best Practices on Recommendation Systems
openai/gpt-3
GPT-3: Language Models are Few-Shot Learners
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
pytorch/captum
Model interpretability and understanding for PyTorch
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
649453932/Bert-Chinese-Text-Classification-Pytorch
使用Bert，ERNIE，进行中文文本分类
stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
eugeneyan/ml-surveys
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
cbfinn/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
SeldonIO/alibi
Algorithms for explaining machine learning models
shenweichen/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
divelab/DIG
A library for graph deep learning research
Tencent/NeuralNLP-NeuralClassifier
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
yongzhuo/Keras-TextClassification
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
HIPS/Spearmint
Spearmint Bayesian optimization codebase
LirongWu/awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
ZhiningLiu1998/awesome-imbalanced-learning
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
easezyc/deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
lonePatient/Bert-Multi-Label-Text-Classification
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
kundajelab/deeplift
Public facing deeplift repo
DeepTecher/awesome-autonomous-vehicle
无人驾驶的资源列表中文版
BrambleXu/knowledge-graph-learning
A curated list of awesome knowledge graph tutorials, projects and communities.
leoribeiro/struc2vec
This repository provides a reference implementation of struc2vec.
ZhiningLiu1998/imbalanced-ensemble
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
Albertsr/Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
jinyuhang/multi-Label-TextClassification
多标签文本分类