Pinned Repositories
All-IT-eBooks-Spider
[Updated] A simple python crawler for my tutorial blog at http://www.jianshu.com/p/8fb5bc33c78e
autograd
Efficiently computes derivatives of numpy code.
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-shell
A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.
bash-guide
A guide to learn bash
bayes-by-backprop
" Weight Uncertainty in Neural Networks"
Bayesball
Bayesball: Bayesian analysis of batting average
BayesByHypernet
Code for the paper Implicit Weight Uncertainty in Neural Networks
notes-python
中文 Python 笔记
Single-Index-Frechet-Regression
Julia codes for the implementation of Single Index Frechet regression by Bhattacharjee and Mueller 2023
dago0's Repositories
dago0/notes-python
中文 Python 笔记
dago0/All-IT-eBooks-Spider
[Updated] A simple python crawler for my tutorial blog at http://www.jianshu.com/p/8fb5bc33c78e
dago0/autograd
Efficiently computes derivatives of numpy code.
dago0/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
dago0/bayes-by-backprop
" Weight Uncertainty in Neural Networks"
dago0/ConvLSTM
Spatio-temporal video autoencoder with convolutional LSTMs
dago0/gp
A tutorial about Gaussian process regression
dago0/i3wm-config
my i3wm config
dago0/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
dago0/love
表白网站
dago0/MachineLearning-1
Machine learning algorithms implemented by pure numpy
dago0/nn-from-scratch
Implementing a Neural Network from Scratch
dago0/python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
dago0/SOMPY
A Python Library for Self Organizing Map (SOM)
dago0/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 If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year).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.
dago0/tree-regularization-public
Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"