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Name: HAN ZHANG

Type: User

Bio: PhD candidate in cumt

Location: 澳大利亚

HAN ZHANG's Projects

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-ai-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

bayesian-kalmanfilter

Variational Baysian Kalman Filter

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

code2flow

Pretty good call graphs for dynamic languages

cplusplus

✔（已完结）最全面的 C++ 笔记【黑马程序员】

cssrlib

Python Toolkit for satellite-based open PPP/PPP-RTK services

cv

✔（已完结）最全面的深度学习笔记【土堆 Pytorch】【李沐动手学深度学习】【吴恩达深度学习】

factor-graph-neural-network

Factor Graph Neural Network

filterpy

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kf-gins

An EKF-Based GNSS/INS Integrated Navigation System

lihang-code

《统计学习方法》的代码实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

navego

NaveGo: an open-source MATLAB/GNU Octave toolbox for processing integrated navigation systems and performing inertial sensors analysis.

numpy-ml

Machine learning, in numpy

ob_gins

An Optimization-Based GNSS/INS Integrated Navigation System

py_imu

KF-GINS的Python版

pyceres

Factor graphs with Ceres in Python

pythonrobotics

Python sample codes for robotics algorithms.

pytorch-project-template

Deep Learning project template for PyTorch (multi-gpu training is supported)

rednose

Kalman filter library

robust-kalman

Robust Kalman filter with adaptive noise statistics estimation.

rtklib-demo5

A version of RTKLIB optimized for single frequency low cost GPS receivers, especially u-blox receivers. It is based on RTKLIB 2.4.3 and is kept reasonably closely synced to that branch. The latest branch of this code is demo5. Documentation for RTKLIB is available at rtklib.com. Binaries and tutorials for this code, and sample GPS data sets a

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