luanchenhui Goto Github PK

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小白学习爬虫应用。

-python

advance-machine-learning-kernel-method

Advance machine Learning: Kernel methods implemented for PCA, KMeans, Logistic Regression, Support Vector Machine (SVM) and Support Vector Data Description (SVDD)

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

autoencoders-for-anomaly-detection

bot

Transformer模型训练的单轮对话聊天机器人

calculator-with-python-gui-pyqt5

This repo conatins the code of calculator app created in PyQt5

chatgpt-next-web

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

chinavis-2018-challenge-1

**可视化与可视分析大会-数据可视分析挑战赛-二等奖

competition-baseline

数据科学竞赛各种baseline代码、思路分享

cpython

The Python programming language

deep-learning

Files used in deep learning projects

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

deeplearning-practice

some practice using deep nerual network

deye

Keep an Eye on Defects Inspection.

drawk

基于pyecharts画k线分析图

drl-pid

Automatically tuning PID parameters based on deep reinforcement learning algorithm

github_interest

interest repositories

gitskills

gym-pybullet-drones

PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control

hands-on-meta-learning-with-python

Hands-On Meta Learning with Python

hog

This is a toy implementation of a hog feature classifier using svm.

hogsvm

A svm for head-detection using Hog

huawei

华为校招笔试题

image-node

c++ serving of machine-learning graphs using nodejs

kaggle-humpback-whale-identification

I have prepared this kernel to learn and build a frame work to apply one-shot learning and siamese network in future projects. If some one wants to build a siamese network this would be a good frame work to start with. I didn't have enough time to train this model to evaluate the performances. But when I go though the winning solutions I feel that this frame work is inline with most of them. With a little tricks this would have been trained to have good accuracy.

lstm-practice

Using LSTM to predict the production.

machine_part_defect-detection

Classification of automotive parts as defective and non-defective with transfer learning.

metric_learning

Metric Learning App Dev Resource

modelica-drone-3d-fmi

Multi-domain drone modeling in Modelica with 3D visualization and FMU export configuration