AI Agent Skills

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Matlab code of machine learning algorithms in book PRML

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM (CVPR 2024)

[CVPR'24 Highlight & Best Demo Award] Gaussian Splatting SLAM

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

An overview of algorithms for estimating pseudotime in single-cell RNA-seq data

📖[IEEE Sensors Journal (JSEN) ] SuperVINS: A Real-Time Visual-Inertial SLAM Framework for Challenging Imaging Conditions (integrated deep learning features)

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…

A high-performance machine learning library in pure Rust, offering statistical utilities, ML algorithms and neural networks.

[RAL' 25 & IROS‘ 25] MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation Framework.

UMI-3D SLAM and Data Processing Pipeline: https://umi-3d.github.io/

A tightly coupled and real time LiDAR-Inertial SLAM algorithm. Based upon LIMO-Velo and FAST_LIO projects.

An open-source Python backtesting engine for designing and evaluating daily stock trading algorithms against real historical market data.