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svm

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Avik-Jain / 100-Days-Of-ML-Code

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100 Days of ML Coding

python machine-learning tutorial deep-learning svm linear-regression scikit-learn linear-algebra machine-learning-algorithms naive-bayes-classifier logistic-regression implementation support-vector-machines 100-days-of-code-log 100daysofcode infographics siraj-raval siraj-raval-challenge

Updated Nov 28, 2020

apachecn / AiLearning

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AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Updated Dec 2, 2020
Python

nfmcclure / tensorflow_cookbook

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Open

Suggestion for better test_indices

3

ychong commented Feb 8, 2018

Hi I would like to propose a better implementation for 'test_indices':

We can remove the unneeded np.array casting:

Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))

Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))

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enhancement good first issue

Jack-Cherish / Machine-Learning

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⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

python machine-learning svm regression logistic python3 adaboost smo knn decision-tree navie-bayes-algorithm adaboost-algorithm

Updated Nov 30, 2020
Python

susanli2016 / Machine-Learning-with-Python

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Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

Updated Nov 30, 2020
Jupyter Notebook

msgi / nlp-journey

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Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

tensorflow svm word2vec crf keras similarity classification attention gensim lda fasttext ner embedding bert elmo

Updated Nov 6, 2020
Python

tatsuyah / vehicle-detection

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Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

machine-learning udacity computer-vision svm self-driving-car hog-features sliding-windows svm-classifier

Updated Oct 31, 2017
Jupyter Notebook

EdwardRaff / JSAT

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Java Statistical Analysis Tool, a Java library for Machine Learning

java machine-learning svm machine-learning-algorithms machine-learning-library tsne jsat

Updated Oct 12, 2020
Java

oxfordcontrol / osqp

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The Operator Splitting QP Solver

machine-learning control optimization svm solver lasso portfolio-optimization numerical-optimization quadratic-programming convex-optimization model-predictive-control

Updated Nov 30, 2020
C

machinelearnjs / machinelearnjs

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Open

Refactor all dataSync with arraySync

2

JasonShin commented Apr 8, 2019

I'm submitting a ...
[/] enhancement
Summary
As a result of upgrading the Tensorflow version to 0.15.1, we should refactor all the dataSycn with arraySync. This will greatly improve the overall readability of the code.

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good first issue

Open

Remove stopword module usage

2

Open

feature/elastic_net

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TeFuirnever / Machine-Learning-in-Action

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⚡️

⚡️

⚡️《机器学习实战》代码（基于Python3）🚀

svm regression logistic adaboost knn naivebayes decisiontree regression-trees

Updated Feb 5, 2020
Python

JunshengFu / vehicle-detection

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Created vehicle detection pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).

svm vehicle-detection yolov1

Updated Mar 28, 2018
Python

Zephery / weiboanalysis

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微博情感分析，文本分类，毕业设计项目

machine-learning svm adaboost bayes

Updated Apr 23, 2020
Python

joanby / python-ml-course

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Curso de Introducción a Machine Learning con Python

python data-science machine-learning svm artificial-neural-networks regression-models

Updated Oct 22, 2020
Jupyter Notebook

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

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Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

machine-learning deep-learning random-forest optimization svm genetic-algorithm machine-learning-algorithms hyperparameter-optimization artificial-neural-networks grid-search tuning-parameters knn bayesian-optimization hyperparameter-tuning random-search particle-swarm-optimization hpo python-examples python-samples hyperband

Updated Oct 27, 2020
Jupyter Notebook

bwaldvogel / liblinear-java

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Java version of LIBLINEAR

java svm logistic-regression liblinear

Updated Nov 29, 2020
Java

fukuball / fuku-ml

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Simple machine learning library / 簡單易用的機器學習套件

machine-learning neural-network svm linear-regression regression classification logistic-regression perceptron decision-trees support-vector-machines

Updated Sep 11, 2018
Python

febeling / rb-libsvm

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Ruby language bindings for LIBSVM

ruby machine-learning svm ml ruby-bindings libsvm svm-training svm-learning svm-classifier rubyml ruby-language-bindings

Updated Sep 4, 2020
C++

williamfzc / stagesepx

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Open

如何根据图表分析得出app启动的时间？

5

TatamiHermit commented Nov 15, 2019

你好，根据我个人理解，app启动时间的测试，默认的黑盒标准一般是从click event触发开始。

请教一下根据report中的各类图表，首先要获取到精确的click event的时间戳t1，然后获取到界面加载完成的t2，这样就可以得到Δt

我这边打开Android的轨迹，这样点击时就会有一个圆点，可以用于辅助识别。

根据你的设计理念，如何根据图表分析得出app启动的时间呢？

谢谢。

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good first issue

rickiepark / handson-ml

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도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

python machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network random-forest tensorflow svm scikit-learn recurrent-neural-networks xgboost autoencoder ensemble-learning gradient-boosting

Updated Mar 4, 2020
Jupyter Notebook

lxztju / pytorch_classification

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利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

flask deployment random-forest svm cnn pytorch image-classification densenet resnet knn knowledge-distillation resnext label-smoothing

Updated Aug 28, 2020
Jupyter Notebook

icsfy / Pedestrian_Detection

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通过HOG+SVM训练进行行人检测，行人数据库使用INRIAPerson，程序基于OpenCV实现

Updated Jun 14, 2017
C++

Vaibhav / Stock-Analysis

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Regression, Scrapers, and Visualization

visualization sentiment-analysis svm linear-regression prediction stocks stock-prices hacktoberfest stock-analysis nvda hacktoberfest2020

Updated Nov 27, 2020
Jupyter Notebook

uricamic / clandmark

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Open Source Landmarking Library

svm detection output landmarks facial svm-training svm-learning structured svm-classifier

Updated Aug 7, 2019
Jupyter Notebook

faridcher / ml-course

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Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

machine-learning neural-network clustering svm linear-regression pca classification recommender-system regularization gradient-descent k-means anomalydetection principal-component-analysis learning-curve

Updated Sep 1, 2020
R

HsiehYiChia / Scene-text-recognition

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Scene text detection and recognition based on Extremal Region(ER)

classifier opencv machine-learning algorithm ocr computer-vision svm detection image-processing text-recognition spelling-checker adaboost chaincode cascade-classifier mser lbp canny non-maximum-suppression scene-text-recognition scene-text-detection

Updated May 11, 2020
C++

tandasat / SimpleSvmHook

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SimpleSvmHook is a research purpose hypervisor for Windows on AMD processors.

amd virtual-machine svm driver hypervisor windows-kernel

Updated Aug 16, 2020
C++

plotly / dash-svm

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Interactive SVM Explorer, using Dash and scikit-learn

svm scikit-learn dash plotly-dash

Updated Oct 15, 2020
Python

Renovamen / Speech-Emotion-Recognition

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Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

svm cnn lstm mlp opensmile speech-emotion-recognition

Updated Sep 30, 2020
Python

tandasat / SimpleSvm

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A minimalistic educational hypervisor for Windows on AMD processors.

amd virtual-machine svm driver hypervisor windows-kernel

Updated Aug 16, 2020
C++

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