handongfeng Goto Github PK

leetcode-2

Python & JAVA Solutions for Leetcode

lihang-code

《统计学习方法》的代码实现

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

machine-learning-session

machine-learning-specialization

mcr2

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

meanshift

note on mean shift algorithm

mgp-rnn

A TensorFlow implementation of "Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier", ICML 2017.

mnist-center-loss

Center loss implementation in Keras

nmslib

Non-Metric Space Library (NMSLIB): A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

ohca-vs-public-dbs

This repository includes the routines of the research work comparing ohca and public databases for VF detection

pandas-tutorial

Material for the pandas tutorial at EuroScipy 2016

portfolio

Portfolio of Allen Downey at Olin College

psgd_torch

Pytorch implementation of preconditioned stochastic gradient descent

pysnooper

Never use print for debugging again

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

reco-papers

Classic papers and resources on recommendation

researchnotes

researchNotes

rl-book

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

rspapers

Must-read papers on Recommender System.

sagemaker-workshop

seq2seq

Sequence to Sequence Learning with Keras

shap

A unified approach to explain the output of any machine learning model.

site

sktime

A unified toolbox for machine learning with time series

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow

some notes on tensorflow