ccplxx's repositories
awesome-fenix
讨论如何构建一套可靠的大型分布式系统
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
DocsGPT
GPT-powered chat for documentation search & assistance.
document.ai
基于向量数据库与GPT3.5的通用本地知识库方案(A universal local knowledge base solution based on vector database and GPT3.5)
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
george
Fast and flexible Gaussian Process regression in Python
gp
A tutorial about Gaussian process regression
grid_map
Universal grid map library for mobile robotic mapping
idrlnet
IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.
learnmodelicabyexample
Learn Modelica by Example
loam_livox
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
N-blog
《一起学 Node.js》
OpenLayers3Primer
It is a OpenLayers 3 book for beginners
osc_auto
docs for auto scenario
overlap_localization
chen2020iros: Learning an Overlap-based Observation Model for 3D LiDAR Localization.
PaddleSpatial_d3vae
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
pycaret
An open-source, low-code machine learning library in Python
pysindy
A package for the sparse identification of nonlinear dynamical systems from data
SEUIF97
IAPWS-IF97 High-speed Shared Library
state-spaces
Sequence Modeling with Structured State Spaces
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
taichi
Productive & portable programming language for high-performance, sparse & differentiable computing on CPUs & GPUs
transdim
Machine learning for transportation data imputation and prediction.
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
webviz
web-based visualization libraries
x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers