Popular GitHub Repositories for Certificate Transparency

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Fit interpretable models. Explain blackbox machine learning.

A curated list of awesome responsible machine learning resources.

AllinSSL 是一个集证书申请、管理、部署和监控于一体的SSL证书全生命周期管理工具。AllinSSL is an all-in-one SSL certificate lifecycle management tool that integrates certificate application, management, deployment, and monitoring.

? Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

Watcher - Open Source AI-powered Cyber Threat Intelligence & Hunting Platform. Developed with Django & React JS.

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

H2O.ai Machine Learning Interpretability Resources

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

A toolkit that streamlines and automates the generation of model cards

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Structured data outputs with LLMs, in PHP. Designed for simplicity, transparency, and control.

Smart AI model cascading for cost optimization

Synthesizing neural-network Lyapunov functions (and controllers) as stability certificate.

A library that implements fairness-aware machine learning algorithms

Tracking instruction-tuned LLM openness. Paper: Liesenfeld, Andreas, Alianda Lopez, and Mark Dingemanse. 2023. “Opening up ChatGPT: Tracking Openness, Transparency, and Accountability in Instruction-Tuned Text Generators.” In Proceedings of the 5th International Conference on Conversational User Interfaces. doi:10.1145/3571884.3604316.

DeepLearning.AI TensorFlow Developer Professional Certificate -Coursera

The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepare for jobs like Senior Data Analyst and Junior Data Scientist.

TensorFlow in Practice Specialization. Join our Deep Learning Adventures community ? and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting ? All while having fun learning and participating in our Deep Learning Trivia games ? http://bit.ly/deep-learning-tf

Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch