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Huixiang Qiao 's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

alphapose icon alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

annotated_deep_learning_paper_implementations icon 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-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

babygan icon babygan

StyleGAN-based predictor of children's faces from photos of theoretical parents.

cartographer icon cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

colossalai icon colossalai

Colossal-AI: A Unified Deep Learning System for Big Model Era

data-stucture-algorithm icon data-stucture-algorithm

In order to improve the programming ability of the algorithm, this is the question I got from LeetCode. My solutions are written by the Python and C++.

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

hake-action icon hake-action

As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

mmyolo icon mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

relevant-use-of-coco-dataset icon relevant-use-of-coco-dataset

Hi guys, there are some Python code that I wrote in my project to process the json, h5, txt file on COCO Dataset(keypoints).

steel-bar-scratch-detection icon steel-bar-scratch-detection

Hello guys, this is an algorithm demo code I wrote in a machine vision project. In the strong exposure interference and unenclosed space environment, the small points and scratched areas on the steel bar can be effectively extracted and colored.

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