Showing 1-20 of 27 projects
Comprehensive Chinese NLP resource collection for developers
High-quality implementations of reinforcement learning algorithms for AI and machine learning research.
Reliable PyTorch implementations of reinforcement learning algorithms for AI and robotics applications.
A collection of code examples and baselines for common data science and machine learning competitions.
A fast, open-source library for time series forecasting using statistical and econometric models.
A PyTorch baseline implementation for person re-identification and vehicle re-identification tasks.
CLUE is a comprehensive Chinese language understanding evaluation benchmark with datasets, baselines, pre-trained models, and a leaderboard.
Scalable neural forecasting algorithms for time-series data, with support for various deep learning models.
A computer vision toolbox for state-of-the-art person re-identification methods.
An index of algorithms for learning causality with data, useful for vibe coders working on AI-powered applications.
A framework for training Stable Baselines3 reinforcement learning agents with hyperparameter optimization.
A comprehensive collection of hardening settings and scripts for securing Windows systems.
Automation tool to assess M365 tenant security against CISA baselines for cybersecurity compliance.
A strong baseline and bag of tricks for deep person re-identification in computer vision.
A simple vision transformer baseline for human pose estimation, with pre-trained models and advanced capabilities.
An open-source Python implementation for 3D multi-object tracking, with KITTI benchmarking and new evaluation metrics.
A benchmark for evaluating language understanding models and datasets for the Chinese language.
Configuration guidance for implementing the Windows 10 and Windows Server 2016 DoD Secure Host Baseline settings.
High-quality implementations of standard and state-of-the-art methods for Bayesian and probabilistic machine learning.
A simple baseline for 3D human pose estimation using TensorFlow, presented at ICCV 2017.
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