Pinned Repositories
arscpp
Fast Adaptive Rejection Sampling in R
CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
deep_architecture_genealogy
Deep Learning Architecture Genealogy Project
hello-world
My first repository
lidc_nodule_detection
lidc nodule detection with CNN and LSTM network
LorneXie.github.io
NKDACS-Website
NKDACS网站设计
nkueamis
A simple tool to help get information in NKU-EAMIS(NKU Education Affairs Management Information System).
pymc
PyMC: Bayesian Stochastic Modelling in Python (DEPRECATED: for PyMC3: https://github.com/pymc-devs/pymc3)
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
LorneXie's Repositories
LorneXie/arscpp
Fast Adaptive Rejection Sampling in R
LorneXie/CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.
LorneXie/deep_architecture_genealogy
Deep Learning Architecture Genealogy Project
LorneXie/hello-world
My first repository
LorneXie/lidc_nodule_detection
lidc nodule detection with CNN and LSTM network
LorneXie/LorneXie.github.io
LorneXie/NKDACS-Website
NKDACS网站设计
LorneXie/nkueamis
A simple tool to help get information in NKU-EAMIS(NKU Education Affairs Management Information System).
LorneXie/pymc
PyMC: Bayesian Stochastic Modelling in Python (DEPRECATED: for PyMC3: https://github.com/pymc-devs/pymc3)
LorneXie/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
LorneXie/reproducible-image-denoising-state-of-the-art
Collection of popular and reproducible image denoising works.
LorneXie/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
LorneXie/vim-galore-zh_cn
Vim galore 中文翻译，构建 Vim 知识体系
LorneXie/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow