머신러닝 · GitHub

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.

A human-centric, resource-aware Android node for edge computing and federated learning. Orchestrates distributed intelligence with privacy-first localization and empathetic hardware management.

Graph-linked unified embedding for single-cell multi-omics data integration

斗地主自动记牌器 / Dou Dizhu Auto Card Counter & Tracker。适配不同斗地主游戏窗口, 基于 YOLO 自动识别扑克牌，统计剩余未知牌及三家出牌历史；支持自动/手动布局、CPU/CUDA 推理。

DSCI-633: Foundations of Data Science https://github.com/hil-se/fds

A list of papers and resources (data,code,etc) for holistic 3D reconstruction in computer vision

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A pytorch library for graph and hypergraph computation.

• Support High-Order Message Passing on Structure: DHG supports pair-wise message passing on the graph structure and beyond-pair-wise message passing on the hypergraph structure.
• Shared Ecosystem with Pytorch Framework: DHG is built upon Pytorch, and any Pytorch-based models can be integrated into DHG. If you are familiar with Pytorch, you can easily use DHG.

Penalized least squares estimation using the Orthogonalizing EM (OEM) algorithm

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

Human-in-the-Loop Annotation and Model Development for Benthic Imagery

Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019)

[GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on Point Clouds

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