weiquanpan's repositories
bigdata_analyse
大数据分析项目
Python-100-Days
Python - 100天从新手到大师
future
:rocket: R package: future: Unified Parallel and Distributed Processing in R for Everyone
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
r-source
Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.
paperdigger
A simple shinyApp for automatically downloading papers from sci-hub.
async
Asynchronous HTTP and computation in R
Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Clustering
Clustering / Subspace Clustering Algorithms on MATLAB
Rfast
:exclamation: This is a read-only mirror of the CRAN R package repository. Rfast — A Collection of Efficient and Extremely Fast R Functions. Homepage: https://github.com/RfastOfficial/Rfast Report bugs for this package: https://github.com/RfastOfficial/Rfast/issues
CV-OCR
基于tensorflow、keras/pytorch框架实现图片文字检测及端到端的OCR中文文字识别
r-data-practice
R语言数据操作练习
ODSC_East_2020
Missing data in supervised ML
causal_inference_python_code
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
keras
R Interface to Keras
MultiDistFree
This repository consists of codes used in simulations corresponding to nonparametric multivariate distribution-free ests
antcolony
Nodejs实现的一个磁力链接爬虫 http://findit.keenwon.com (原域名http://findit.so )
variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
SIMLR_PY
Python Implementation of SIMLR for single-cell visualization and analysis
kernel_selection
Learning the kernel hyperparameters
gbdr
Groupwise Bayesian dimension reduction
ScrapyProject
开始Scrapy实战如：存数据库、下载文件、爬京东、淘宝、Anti-Anti-Spider……
scRNA.seq.course
Analysis of single cell RNA-seq data course, Cambridge University, UK
stepwise
Stepwise methods for selection of "best" fitting linear models
QLearning_Trading
Learning to trade under the reinforcement learning framework
herding-paper
Optimally-weighted herding is Bayesian Quadrature