SamanthaChen's Stars
tensorflow/models
Models and examples built with TensorFlow
keras-team/keras
Deep Learning for humans
google-research/bert
TensorFlow code and pre-trained models for BERT
halfrost/LeetCode-Go
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
cleanlab/cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
resumejob/awesome-resume
Resume,Resume Templates,程序员简历例句,简历模版,
wepe/MachineLearning
Basic Machine Learning and Deep Learning
shenweichen/GraphEmbedding
Implementation and experiments of graph embedding algorithms.
TeamHG-Memex/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
scikit-learn-contrib/category_encoders
A library of sklearn compatible categorical variable encoders
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
kaz-Anova/StackNet
StackNet is a computational, scalable and analytical Meta modelling framework
dmlc/treelite
Universal model exchange and serialization format for decision tree forests
jpmml/sklearn2pmml
Python library for converting Scikit-Learn pipelines to PMML
WeBankFinTech/WeDataSphere
WeDataSphere is a financial grade, one-stop big data platform suite.
mbs0221/Multitask-Learning
Awesome Multitask Learning Resources
amphibian-dev/toad
ESC Team's credit scorecard tools.
WeBankFinTech/Prophecis
Prophecis is a one-stop cloud native machine learning platform.
square/pysurvival
Open source package for Survival Analysis modeling
jg8610/multi-task-learning
Multi-Task Learning in NLP
VahidooX/LINE
This is an implementation of LINE(Large-scale information network embedding) algorithm.
deymm/encoder2predict
利用Encoder对二分类任务的序列数据进行概率预测
zldeng/XgboostAndLR
use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
nate-russell/Network-Embedding-Resources
Network Embedding Survey and Resources
jingmin1987/variable-clustering
A re-creation of SAS varclus procedure in Python
SamanthaChen/PythonACQ
毕设论文代码草稿
xhlubuntu/xgboost2rule
SamanthaChen/Adversarial_Validation_Case_Study
当样本分布发生变化时,交叉验证无法准确评估模型在测试集上的效果,这时候需要其他构造验证集的方法来应对。