The official GitHub page for the survey paper "A Survey of Large Language Models".

Benchmarking Generalized Out-of-Distribution Detection

source code for NeurIPS'22 paper "SIREN: Shaping Representations for Detecting Out-of-Distribution Objects"

Code from PLDI '21 paper "Provable Repair of Deep Neural Networks."

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Microsoft Bonsai Simulink Toolbox and sample models

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

A paper list of lane detection.

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

This is the implement repository of our upcoming ESEC/FSE 2020 paper: Deep Learning Library Testing via Effective Model Generation.

An uncertainty-based random sampling algorithm for data augmentation

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

Google Research

Related papers for robust machine learning

ZoneMinder is a free, open source Closed-circuit television software application developed for Linux which supports IP, USB and Analog cameras.

Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops

Neural Architecture Distribution Search for Uncertainty Awareness

Practical assignments of the Deep|Bayes summer school 2019

Visualizations for machine learning datasets

Python, Machine Learning, Deep Learning and Data Science Books

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

Anomaly detection related books, papers, videos, and toolboxes

A collection of infrastructure and tools for research in neural network interpretability.

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color