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100 Days Of Ml Code ⭐ 42,417

100 Days of ML Coding

Ailearning ⭐ 37,934

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Pythonpark ⭐ 8,310

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度

Machinelearning ⭐ 4,895

Basic Machine Learning and Deep Learning

Nlp Journey ⭐ 1,563

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.

Ios_ml ⭐ 1,406

List of Machine Learning, AI, NLP solutions for iOS. The most recent version of this article can be found on my blog.

Twitter Sentiment Analysis ⭐ 1,322

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

Machinelearning ⭐ 1,029

Machine learning algorithms implemented by pure numpy

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

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

Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)

Hyperspectral Classification ⭐ 309

Hyperspectral-Classification Pytorch

Handson Ml ⭐ 277

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

Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Daily Question ⭐ 161

每日一题（涉及但不仅限于机器学习、深度学习和计算机视觉等方向）

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

Cnn Svm ⭐ 151

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Malware Classification ⭐ 140

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Lamda Ssl ⭐ 130

30 Semi-Supervised Learning Algorithms

Visualml ⭐ 106

Interactive Visual Machine Learning Demos.

Sentencesentimentclassifier ⭐ 92

Sentiment Classifier base on traditional Maching learning methods, eg Bayes, SVM ,DecisionTree, KNN and Deeplearning method like MLP,CNN,RNN(LSTM). 基于机器学习与深度学习方法的情感分析算法实现与对比，包括决策树，贝叶斯，KNN, SVM ,MLP, CNN, LSTM实现

Defect Detection Classifier ⭐ 70

Visual Defect Detection on Boiler Water Wall Tube Using Small Dataset

Ml Starter Pack ⭐ 70

A collection of Machine Learning algorithms written from sctrach.

Ml From Scratch ⭐ 64

ML From Scratch

Deep Learningai ⭐ 61

🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)

Matlabsamples ⭐ 58

🧐 Matlab Samples 👽 keep updating

Hyperfoods ⭐ 56

It was built a web application as a step forward in building a 3D recommendation system.

Sarcasm Detection ⭐ 52

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.

11k Hands ⭐ 52

Two-stream CNN for gender classification and biometric identification using a dataset of 11K hand images.

Nndl Materials ⭐ 46

邱锡鹏老师《神经网络与深度学习》一书参考视频及补充材料

OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)

Cnn_ucmerced Landuse_caffe ⭐ 42

Based on the deep learning framework (Caffe), the classification of the optical remote sensing image UCMerced LandUse dataset was completed.

Image Forgery Detection Cnn ⭐ 39

Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.

Anomaly Event Detection ⭐ 36

Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.

Computer_vision_primer ⭐ 35

计算机视觉入门

Anomaly Detection Iot23 ⭐ 34

A research project of anomaly detection on dataset IoT-23

Text Classification Cn ⭐ 33

中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法

Machine Learning Interview ⭐ 27

算法工程师-机器学习面试题总结

Diabetic Retinopathy Detection ⭐ 26

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

Eye Blink Detection ⭐ 26

Detect eye blinks based on eye aspect ratio (EAR) introduced by Soukupová and Čech in their 2016 paper, Real-Time Eye Blink Detection Using Facial Landmarks.

Carnd Vehicle Detection ⭐ 26

Monocular vehicle detection using SVM and Deep Learning classifiers

Ml Spam Sms Classification ⭐ 23

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

Speech_emotion_recognition ⭐ 23

In this project, the performance of speech emotion recognition is compared between two methods (SVM vs Bi-LSTM RNN).Conventional classifiers that uses machine learning algorithms has been used for decades in recognizing emotions from speech. However, in recent years, deep learning methods have taken the center stage and have gained popularity for their ability to perform well without any input hand-crafted features. Speech emotion on sets obtained from RAVDESS corpus is classified using a conven

Btc_data ⭐ 23

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

Patternrecognitionanddeeplearning Lab ⭐ 19

2019春哈工大模式识别与深度学习实验

Face Recognition Using Deep Learning ⭐ 19

Identify faces from video and images using OpenCV and Deep Learning

Computer Vision ⭐ 19

Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.

Histogram Of Oriented Gradients

Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки

Machine Learning Framework

Forecast Of Time Series With Stock Data ⭐ 16

Comparative Analysis of Techniques for Forecasting Time Series in Financial Markets

Basicsmusicalinstrumclassifi ⭐ 16

Basics of Musical Instruments Classification using Machine Learning

Spoken Keyword Spotting ⭐ 16

In this repository, we explore using a hybrid system consisting of a Convolutional Neural Network and a Support Vector Machine for Keyword Spotting task.

Deepretinalclassification ⭐ 16

3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)

Score Ensembles Based Svm ⭐ 13

Combine many organs from a plant to predict their species

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Speechrecognition ⭐ 10

Small-footprint Keyword Spotting

Simple Deep Learning Sca ⭐ 10

Simple deep learning side channel attack. Experimental data set based on chipwhisperer.

Real Time Parking Occupancy Detection ⭐ 10

Implementation of "Real-time image-based parking occupancy detection using deep learning, Acharya, D., Yan, W., & Khoshelham, K. 2018"

Nthu Machine Learning ⭐ 10

NTHU EE6550 Machine Learning slides and my code solutions for spring semester 2017.

Sentimentanalysis Python Demo ⭐ 10

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

Sentiment Analysis ⭐ 9

a module of sentiment analysis

Object Detection ⭐ 8

Object Detection in an Image Applying Deep Q-Network

Real-Time Deep-Learning-Based System for Facial Recognition

Deep Food ⭐ 8

Python ML programm to classify food using Deep Learning and feature classifiers like SIFT, SURF with Bag of Words and SVMs

Movie Recommendation System ⭐ 8

Movie Recommendation System using the MovieLens dataset

Machinelearning ⭐ 7

CS446: Machine Learning in Spring 2018, UIUC

Twitter_sentiment_bert_scikit ⭐ 7

Twitter US Airline数据集情感分析（sentiment Analysis），使用Bert Sentence encoding作为特征，实现了SVM、XGBoost、RandomForest（随机森林）若干分类

Emoji Prediction Using Deep Learning ⭐ 7

This project aims to understand the underlying semantics of the text sentence using natural processing techniques to predict reasonable emojis based on the context.

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Apparel Recommendations ⭐ 6

Content Based Filtering and Apparel Recommendations.

Icdmai_2020 ⭐ 6

This repository is for the Session held in International Conference on Data Management, Analytics and Innovation, New Delhi 2020

Hsi Toolbox ⭐ 6

Hyperspectral CNN compression and band selection

Speech Emotion Recognization ⭐ 6

Speech Emotion Detection using SVM, Decision Tree, Random Forest, MLP, CNN with different architectures

100daysofmlcode ⭐ 6

100 days ML challenge by Siraj Raval

Youtube Clickbait Detector ⭐ 6

Automatically detect clickbait Youtube videos from their metadata with a 96% F1 score.

Learn Nlp Luhuibo ⭐ 6

记录学习NLP之路，一起加油

Siamese Kernel Machine ⭐ 5

Combine SVM with deep learning for one-shot learning

Image_classification ⭐ 5

An implementation (in R) of a not so usual "deep learning" architecture using K-Means and SVM

Machine Learning ⭐ 5

My Implementation of Machine Learning models

Object_detection_hog_svm ⭐ 5

使用HOG和SVM进行目标检测

Easyoverhard ⭐ 5

a case study on deep learning where tuning simple SVM is much faster and better than CNN

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