posa88's starred repositories
ColossalAI
Making large AI models cheaper, faster and more accessible
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
HowToLiveLonger
程序员延寿指南 | A programmer's guide to live longer
awesome-mlops
A curated list of references for MLOps
seldon-core
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
dubbo-admin
The ops and reference implementation for Apache Dubbo
tensorflow-onnx
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
flask-restful-example
flask后端开发接口示例,利用Flask开发后端API接口。包含基本的项目配置、统一响应、MySQL和Redis数据库操作、定时任务、图片生成、项目部署、用户权限认证、报表输出、无限层级生成目录树、阿里云手机验证码验证、微信授权、Celery、单元测试、Drone等模块。
openscoring
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
ml_equations_latex
Classical ML equations in Latex, helps paper and blog writing
ai-serving
Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints
mnemonic-recovery
Bitcoin and Ethereum mnemonic phrase recovery tool
confusion-matrix
Minimalistic Java implementation of a confusion matrix for evaluating learning algorithms, including accuracy, macro F-measure, Cohen's Kappa, and probabilistic confusion matrix
singa-auto
A platform to automate the training (including hyper-parameter tuning) and inference of machine learning models
kfserving-advanced
Advanced KFServing Example with Model Performance Monitoring, Outlier Detection and Concept Drift
accuracy-evaluation-java
A java implementation for calculating the accuracy metrics (Accuracy, Error Rate, Precision(micro/macro), Recall(micro/macro), Fscore(micro/macro)) for classification tasks based on the paper http://www.sciencedirect.com/science/article/pii/S0306457309000259 and MATLAB confusion implementation.