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100-days-of-ml-code

100-Days-Of-ML-Code中文版

2018-ccf-bdci-china-unicom-research-institute-top2

2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名解决方案

30daymakecppserver

30天自制C++服务器，包含教程和源代码

66days_machinelearning

I am sharing my journey of 66DaysOfData in Machine Learning

a-fast-method-of-visual-words-assignment-of-bag-of-features-for-object-recognition

M.-J. Chiou, T. Yamasaki and K. Aizawa, "A Fast Method of Visual Words Assignment of Bag-of-Features for Object Recognition", MIRU 15th, July 2015

abcpmc

Approximate Bayesian Computation Population Monte Carlo

accv2012_code

the source code for accv2012 paper Robust Visual Tracking Using Dynamic Classifier Selection with Sparse Representation of Label Noise

action_recognition

Action Recognition & Categories via Spatial-Temporal Features

activity-recognition

activity_recognition

Code for: Learning Latent Structure for Activity Recognition (ICRA 14', RSS 14', and Ro-Man 14')

actrectut

MATLAB Human Activity Recognition Toolbox

adavanced-aritificial-intelligence

a home work project

add_constraints_on_hierarchical_dictionary_learning

According to CVPR'12 paper "Learning Inter-related Visual Dictionary for Object Recognition" and ICCV'11 paper "Fisher Discrimination Dictionary Learning for Sparse Representation", both have btwn-class scatter and within-class scatter and the former has shared dictionary. I adjusted the formula to add hierarchical dictionary constraints.

adding_by_attr

MATLAB script for adding samples by learned attributes (CVPR 2013)

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

affinitybasedmattingtoolbox

A collection of common affinity-based image matting and matte refinement algorithms.

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

ailab

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

ailearning-theory-applying

快速上手Ai理论及应用实战：基础知识、ML、DL、NLP-BERT、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

ale

ale

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

algods

Implementation of Algorithms and Data Structures, Interview Questions and Answers

algorithms

Minimal examples of data structures and algorithms in Python

algorithms-for-ai

Assignments for the "INF8215: Methods and Algorithms for Artificial Intelligence" course. M.Sc. in Applied Mathematics at Polytechnique Montréal.

algorithmsanddatastructure

Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you

alicevision

Photogrammetric Computer Vision Framework

alienmarkovnetworks

Using MRFs and CRFs for computer vision problems.

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

an-iterative-l1-regularized-limited-memory-stochastic-bfgs-algorithm

To overcome computational challenges in traditional optimization algorithms, developed an Iterative L1 Regularized Limited Memory Stochastic BFGS algorithm which drops the hyperparameters iteratively at certain rate as the algorithm proceeds providing exact sparse solutions to big data machine learning optimization problems using significantly less computational memory.

anchorfreedetection

list the paper for recently anchor free detector