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algorithm_reference

algorithms of interest

au.id.cxd.math

A collection of experiments focusing on processing tabular data.

causalml

Uplift modeling and causal inference with machine learning algorithms

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

cs231n.github.io

Public facing notes page

cvxopt

CVXOPT -- Python Software for Convex Optimization

dann_py3

python 3 pytorch implementation of DANN

deepspeedexamples

Example models using DeepSpeed

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dlwin

GPU-accelerated Deep Learning on Windows 10 native

dmr

Deep Match to Rank Model for Personalized Click-Through Rate Prediction

entity-embedding-rossmann

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

jekyll-theme-chirpy

A Jekyll theme with responsive web design that focuses on text presentation.

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggle_r_utils

R utilities for Kaggle competitions

kaggle_reuse_code

Reuse Kaggle code

kaggle_scripts

kaggletils

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lianjia_house_info

链家二手房信息、交易记录爬虫，部分数据分析

matlabstan

Matlab interface to Stan, a package for Bayesian inference

mlpack

mlpack: a scalable C++ machine learning library --

mo-mc-knapsack

Solving multiobjective multiple-choice knapsack problems using MILP solvers

multi-label-image-classification

Multi Label Image Classification

my_blog

Too preview, please visit https://robinseaside.github.io/my_blog/

open-solution-salt-detection

Open solution to the TGS Salt Identification Challenge https://www.kaggle.com/c/tgs-salt-identification-challenge

openturns

Uncertainty treatment library

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

ptt

R package for Polya tree type models