senddon's repositories
awesome
😎 Awesome lists about all kinds of interesting topics
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
awesome-python-data-science
Probably the best curated list of data science software in Python.
machine_learning_notebook
机器学习纯算法实现。持续更新
Python
All Algorithms implemented in Python
Python-100-Days
Python - 100天从新手到大师
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
climate-change-data
:earth_africa: A curated list of APIs, open data and ML/AI projects on climate change
CVPR-2020-point-cloud-analysis
CVPR 2020 papers focusing on point cloud analysis
Data-Analysis
Data Science Using Python
DeepLearning
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
DeepLearning-1
深度学习入门教程, 优秀文章, Deep Learning Tutorial
FewShotPapers
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
Hands-on-RL
https://hrl.boyuai.com/
joyful-pandas
Pandas中文教程
keras-io
Keras documentation, hosted live at keras.io
Lidar2HemiEval
Enhancing airborne lidar data for synthetic hemispherical images and radiative transfer modelling
MAMR
Code for Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services
memory_profiler
Monitor Memory usage of Python code
mgwr
Multiscale Geographically Weighted Regression (MGWR)
prml
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
PyInpaint
A lightweight image inpainting tool in python.
scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
scikeras
Scikit-Learn API wrapper for Keras.
scikit-opt
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
secure-xgboost
Secure collaborative training and inference for XGBoost.