Topic: maching-learning Goto Github
Some thing interesting about maching-learning
Some thing interesting about maching-learning
maching-learning,Predictor for the future induction of players in the MLB Hall of Fame
User: abel1927
maching-learning,
User: amin-foroughi-nezhad
maching-learning,Project 2 for udacity nd230 course
User: axelli2001
maching-learning,SmartTrade is an Automatic Trading System with embedded machine learning algorithm, real-time portfolio visualization and automated execution
User: boycao
maching-learning,A study on the effect of dense connection in convolutional neural network.
User: boyu1997
maching-learning,
User: chaoses-ib
maching-learning,algorithm of machine learning
User: cliffleopard
maching-learning,Python practice/机器学习、OpenCV、数据结构Python实战练习
User: czla
maching-learning,To explore the forming of 996 working mode by simulation game on wechat game platform.
User: danielkaifeng
maching-learning,Maze is a mini project developed to generate a maze randomly and be capable to resolve it using A* algorithm and Manhattan or Pythagore heuristics.
User: denimamab
maching-learning,Work with historical air quality data and meteorological (weather) data of two cities, Beijing and London, and the goal is to forecast the air quality in future
User: denizsungurtekin
maching-learning,Bidirectional Bootstrap Neural Network, by DGideas([email protected]), under develop.
User: dgideas
maching-learning,We present a framework called TLF that builds a classifier for the target domain having only few labeled training records by transferring knowledge from the source domain having many labeled records. While existing methods often focus on one issue and leave the other one for the further work, TLF is capable of handling both issues simultaneously. In TLF, we alleviate feature discrepancy by identifying shared label distributions that act as the pivots to bridge the domains. We handle distribution divergence by simultaneously optimizing the structural risk functional, joint distributions between domains, and the manifold consistency underlying marginal distributions. Moreover, for the manifold consistency we exploit its intrinsic properties by identifying $k$ nearest neighbors of a record, where the value of k is determined automatically in TLF. Furthermore, since negative transfer is not desired, we consider only the source records that are belonging to the source pivots during the knowledge transfer. We evaluate TLF on seven publicly available natural datasets and compare the performance of TLF against the performance of eleven state-of-the-art techniques. We also evaluate the effectiveness of TLF in some challenging situations. Our experimental results, including statistical sign test and Nemenyi test analyses, indicate a clear superiority of the proposed framework over the state-of-the-art techniques.
User: grahman20
Home Page: https://csusap.csu.edu.au/~grahman/
maching-learning,A clustering method to help migrate coloring styles.
User: gxm11
Home Page: https://rpg.blue/thread-478354-1-1.html
maching-learning,:gem: :smoking: Consiste básicamente en realizar todas la anotaciones, asignaciones, laboratorios y demás códigos de la clase de Inteligencia Artificial.
User: harryalvarado28
maching-learning,this folder is my maching learning review
User: hwaking
maching-learning,Tool to generate SGE scripts based on an experiment config
User: jackdeadman
maching-learning,趨勢科技 - TBrain - 無檔案的惡意程式辨識競賽
User: jackklpan
maching-learning,A React.js based webapp demonstrating my project researching cellular automata and maching learning.
User: jackyx-zhou
maching-learning,this repo contains python scripts for training ML models and creating data visualizations pertaining to the UCI Wisconsin Breast Cancer Diagnosis dataset
User: jake-funk
maching-learning,SigMat: A Classification Scheme for Gene Signature Matching
User: jinfengxiao
maching-learning,Lecture Notes of Andrew Ng's Machine Learning Course
User: julianyulu
maching-learning,This is a Vodafone-Idea Internship ML project , it provides the rough flite fares on the basis of data entries like source , destination, no of stops , Flight Company . We have used kaggle dataset to train the model . The model works fine wirh 75%-80% efficiency.
User: krishna-chidrawar
maching-learning,Generates predictions for a list of cryptocurrencies. Made to be just a framework, performance can be improved with more ML models (LSTM, Reinforcement, SVR..) google-site-verification: google480abb259e214884.html
User: ksink7
Home Page: https://ksink7.github.io/crypto_forecaster/
maching-learning,人工智能学习资料超全整理,包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
User: leerumor
maching-learning,A stacking model designed for task3 of OPEDAC
User: lujunru
Home Page: https://biendata.com/competition/scholar/
maching-learning,Using machine learning classification model to predict customer's churn
User: m3redithw
maching-learning,Android application made as part of engineering degree that is use of Bayes' theorem and based on user inputs can show the most probable answer is chosen topic
User: milosz-barylowicz
maching-learning,Convolutional Neural Network with Tensorflow and Object Detection with OpenCV for Kaggle Image Recognition challange
User: minggli
maching-learning,홉필드 네트워크 파이썬 Tkinter 구현 예제
User: nardo627
maching-learning,It can recognize Digits from 0 to 9. Used Local Binary Pattern (LBP) and Support Vector Machine (SVM).
User: nasif19
maching-learning,Machine Learning and Applications
User: nguyennpa412
maching-learning,A collection of different programs for the Lecture Pattern Recognition given in BI-T in winter semester 2017-18.
User: omartrinidad
maching-learning,A python package that make tensorflow be able to read "Kaldi" scp/ark in an elegant way. May kaldi user happy to enter tensorflow world.
Organization: open-speech
maching-learning,Naive Bayes Algorithm Module for python. https://pypi.org/project/naivepy/
User: prathameshdhande22
maching-learning,Breast Cancer Detection with Decision trees Algorithm And Bagging Normalizing
User: raaaouf
maching-learning,This repository is the implementation of several famous convolution neural network architecture with Keras. (Resnet v1, Resnet v2, Inception v1/GoogLeNet, Inception v2, Inception v3))
User: rayxie29
maching-learning,Course of deep generative models. ITMO University. AI Talent Hub.
User: shchetinnikov
maching-learning,Machine learning based classification on electrocardiogram (ECG) signals for Premature Ventricular Contraction (PVC) localization.
User: stefanheng
maching-learning,javscript backprop
User: trevorblythe
maching-learning,Learning Machine Learning at Digital Talent Scholarship
User: verryp
maching-learning,all answer of machine learning course exercises in Coursera by andrew Ng
User: w-kahn
maching-learning,My Python Learning Project
User: wenhao-yang
maching-learning,Remove watermark automatically(Just can use for fixed position watermark till now). 自动水印消除算法的实现(目前只支持固定水印位置)。
User: whitelok
maching-learning,A face segmentation implementation of FarRL model (CVPR 2022) using Facer, a face analysis toolkit for modern research.
User: willyfh
maching-learning,Machine Learning Based Real-Time Traffic Light Alert on Your Car with Raspberrypi
User: xeonqq
Home Page: https://xeonqq.github.io/machine%20learning/rpi-coral-traffic-light-alert-en/
maching-learning,evaluators for classification models
User: yitistica
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.