MlA high-level machine learning and deep learning library for the PHP language.
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Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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Openml RR package to interface with OpenML
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Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
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MlxtendA library of extension and helper modules for Python's data analysis and machine learning libraries.
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Papers Literature Ml Dl Rl AiHighly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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Ml LibAn extensive machine learning library, made from scratch (Python).
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PycmMulti-class confusion matrix library in Python
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Orange3🍊 📊 💡 Orange: Interactive data analysis
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MlkitA simple machine learning framework written in Swift 🤖
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Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
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RemixautomlR package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.
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Data Science ToolkitCollection of stats, modeling, and data science tools in Python and R.
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Igela delightful machine learning tool that allows you to train, test, and use models without writing code
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NfstreamNFStream: a Flexible Network Data Analysis Framework.
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Statistical LearningLecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course
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AlphapyAutomated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
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Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
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Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
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BlurrData transformations for the ML era
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Auto ml[UNMAINTAINED] Automated machine learning for analytics & production
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MarianaThe Cutest Deep Learning Framework which is also a wonderful Declarative Language
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SmileStatistical Machine Intelligence & Learning Engine
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ImodelsInterpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
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TsfelAn intuitive library to extract features from time series
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Deepsort🧠 AI powered image tagger backed by DeepDetect
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Face.evolve.pytorch🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
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DatascienceCurated list of Python resources for data science.
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PhormaticsUsing A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)
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Amazing Feature EngineeringFeature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
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TadwAn implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
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Machine learning refinedNotes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
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100daysofmlcodeMy journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.
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Pyss3A Python package implementing a new machine learning model for text classification with visualization tools for Explainable AI
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SusiSuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)
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ml-aiML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions
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Model Describermodel-describer : Making machine learning interpretable to humans
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ugtmugtm: a Python package for Generative Topographic Mapping
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pycobrapython library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
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L2cLearning to Cluster. A deep clustering strategy.
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Game Datasets🎮 A curated list of awesome game datasets, and tools to artificial intelligence in games
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RAll Algorithms implemented in R
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DataconfsA list of conferences connected with data worldwide.
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Mlj.jlA Julia machine learning framework
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Machinejs[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
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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
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Artificial Adversary🗣️ Tool to generate adversarial text examples and test machine learning models against them
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Datascience Ai Machinelearning ResourcesAlex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.
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Uci Ml ApiSimple API for UCI Machine Learning Dataset Repository (search, download, analyze)
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