Compile-time Dependency Injection for Go

• UpdatedAug 22, 2025
• Go

A simple monocular visual odometry (part of vSLAM) by ORB keypoints with initialization, tracking, local map and bundle adjustment. (WARNING: Hi, I'm sorry that this project is tuned for course demo, not for real world applications !!!)

• UpdatedNov 9, 2023
• C++

Understanding the Difficulty of Training Transformers

• UpdatedMay 31, 2022
• Python

For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation

• UpdatedNov 6, 2024
• Python

Next-generation google/wire with parallel dependency injection for Go

• UpdatedFeb 20, 2026
• Go

Reference caffe implementation of LSUV initialization

• UpdatedOct 31, 2017
• C++

Benchmark the init cost of Go packages

• UpdatedSep 5, 2025
• Go

Simple implementation of the LSUV initialization in keras

• UpdatedJul 15, 2019
• Python

Simple implementation of the LSUV initialization in PyTorch

• UpdatedJan 16, 2024
• Python

Dependency injection a la carte

• UpdatedAug 7, 2023
• Clojure

[ISPRS JP&RS 2023] A Fast LiDAR Place Recognition and Localization Method by Fusing Local and Global Search

• UpdatedFeb 4, 2025
• C++

A framework for Open edX micro-frontend applications.

• UpdatedFeb 16, 2026
• JavaScript

Class Normalization for Continual Zero-Shot Learning

• UpdatedFeb 5, 2021
• Python

Initialize / Fill C++ array fast - O(1) time with only 1 extra bit of memory.

• UpdatedMar 4, 2023
• C++

The OpenMRS Initializer module is an API-only module that processes the content of the configuration folder when it is found inside OpenMRS' application data directory.

• UpdatedFeb 20, 2026
• Java

The most flexible component-oriented framework for GoLang applications

• UpdatedSep 29, 2024
• Go

This is the open source of my first paper 《Object-Aware SLAM Based on Efficient Quadric Initialization and Joint Data Association》, which has been accepted by RA-L & IROS 2022.

• UpdatedNov 9, 2023

Compile-time Dependency Injection for Go

• UpdatedAug 26, 2025
• Go

Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthogonal regularizer on RNNs with SeqMNIST dataset.

• UpdatedSep 21, 2019
• Jupyter Notebook

Short description for quick search

• UpdatedJan 31, 2019
• Python