shengjunzhang Goto Github PK

non-convex-newton

numerical-tours

Numerical Tours of Signal Processing

numpy-cnn

pure numpy-based inference CNN framework

optml_course

EPFL Course - Optimization for Machine Learning - CS-439

planer

Powerful Light Artificial NEuRon inference framework for CNN

plotneuralnet

Latex code for making neural networks diagrams

project

pw

personal website with hugo

pymlviz

Interactive machine learning algorithm visualisation using Python Jupyter notebooks

python

All Algorithms implemented in Python

python-1

Python code for YouTube videos.

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

pytorch-tutorial

Build your neural network easy and fast

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

ristretto

Randomized Dimension Reduction Library

robustpca

Robust PCA implementation and examples (Matlab)

rsopt

Riemannian stochastic optimization algorithms: Version 1.0.3

scratchforardrone

ScratchForARDrone is an HTTP extension for Scratch 2.0 Offline that allows Scratch to communicate with and receive updates from a connected Parrot AR Drone 2.0. Brought to you by Camp K12.

sgfin.github.io

Sam Finlayson's Academic blog

shengjunzhang.github.io

simple_site

Minimal tutorial on making a simple website with GitHub Pages

spancca

An algorithm for approximate canonical correlation analysis / bilinear maximization.

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

starter-academic

stat453-deep-learning-ss20

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

stochastic_gradient_push

Stochastic Gradient Push for Distributed Deep Learning

stochastic_optimization_comparison

Comparison of modern stochastic optimization algorithms.

subsampled-rtr

Subsampled Riemannian trust-region (RTR) algorithms

taichi

The Taichi programming language