MatrixprofileA Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Stars: ✭ 141 (-82.51%)
RAll Algorithms implemented in R
Stars: ✭ 294 (-63.52%)
PyodA Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Stars: ✭ 5,083 (+530.65%)
ElkiELKI Data Mining Toolkit
Stars: ✭ 613 (-23.95%)
Orange3🍊 📊 💡 Orange: Interactive data analysis
Stars: ✭ 3,152 (+291.07%)
Book listPython, Machine Learning, Deep Learning and Data Science Books
Stars: ✭ 176 (-78.16%)
kmeansA simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python
Stars: ✭ 18 (-97.77%)
SparseLSHA Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.
Stars: ✭ 127 (-84.24%)
Uncertainty BaselinesHigh-quality implementations of standard and SOTA methods on a variety of tasks.
Stars: ✭ 278 (-65.51%)
PycaretAn open-source, low-code machine learning library in Python
Stars: ✭ 4,594 (+469.98%)
Ai Learn人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域
Stars: ✭ 4,387 (+444.29%)
Minisom🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Stars: ✭ 801 (-0.62%)
LabsLabs for the Foundations of Applied Mathematics curriculum.
Stars: ✭ 150 (-81.39%)
teanaps자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.
Stars: ✭ 91 (-88.71%)
SealionThe first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Stars: ✭ 278 (-65.51%)
genieGenie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
Stars: ✭ 21 (-97.39%)
Ml From ScratchPython implementations of some of the fundamental Machine Learning models and algorithms from scratch.
Stars: ✭ 20,624 (+2458.81%)
SktimeA unified framework for machine learning with time series
Stars: ✭ 4,741 (+488.21%)
Spacy💫 Industrial-strength Natural Language Processing (NLP) in Python
Stars: ✭ 21,978 (+2626.8%)
Edward2A simple probabilistic programming language.
Stars: ✭ 419 (-48.01%)
AlgorithmsA collection of common algorithms and data structures implemented in java, c++, and python.
Stars: ✭ 142 (-82.38%)
Pygm🐍 Python library implementing sorted containers with state-of-the-art query performance and compressed memory usage
Stars: ✭ 156 (-80.65%)
hierarchical-clusteringA Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
Stars: ✭ 62 (-92.31%)
Cookbook 2ndIPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
Stars: ✭ 704 (-12.66%)
Stock PredictionSmart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon
Stars: ✭ 125 (-84.49%)
UrsUniversal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.
Stars: ✭ 275 (-65.88%)
Flux.jlRelax! Flux is the ML library that doesn't make you tensor
Stars: ✭ 3,358 (+316.63%)
genieclustGenie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R
Stars: ✭ 34 (-95.78%)
GdrlGrokking Deep Reinforcement Learning
Stars: ✭ 304 (-62.28%)
Pydataroadopen source for wechat-official-account (ID: PyDataLab)
Stars: ✭ 302 (-62.53%)
Pm4py CorePublic repository for the PM4Py (Process Mining for Python) project.
Stars: ✭ 313 (-61.17%)
Deeplearning NotesNotes for Deep Learning Specialization Courses led by Andrew Ng.
Stars: ✭ 126 (-84.37%)
Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
Stars: ✭ 348 (-56.82%)
Graph Fraud Detection PapersA curated list of fraud detection papers using graph information or graph neural networks
Stars: ✭ 339 (-57.94%)
Stats Maths With PythonGeneral statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
Stars: ✭ 381 (-52.73%)
MlxtendA library of extension and helper modules for Python's data analysis and machine learning libraries.
Stars: ✭ 3,729 (+362.66%)
Mli ResourcesH2O.ai Machine Learning Interpretability Resources
Stars: ✭ 428 (-46.9%)
Combo(AAAI' 20) A Python Toolbox for Machine Learning Model Combination
Stars: ✭ 481 (-40.32%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (-59.55%)
Cookbook 2nd CodeCode of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
Stars: ✭ 541 (-32.88%)
Interpretable machine learning with pythonExamples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Stars: ✭ 530 (-34.24%)
SmileStatistical Machine Intelligence & Learning Engine
Stars: ✭ 5,412 (+571.46%)
Test TubePython library to easily log experiments and parallelize hyperparameter search for neural networks
Stars: ✭ 663 (-17.74%)
EdwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Stars: ✭ 4,674 (+479.9%)
DataprooferA proofreader for your data
Stars: ✭ 628 (-22.08%)
YaboxYet another black-box optimization library for Python
Stars: ✭ 103 (-87.22%)
ProbabilityProbabilistic reasoning and statistical analysis in TensorFlow
Stars: ✭ 3,550 (+340.45%)
Learn Data Science For FreeThis repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …
Stars: ✭ 4,757 (+490.2%)