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PycaretAn open-source, low-code machine learning library in Python
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Timeseries fastaifastai V2 implementation of Timeseries classification papers.
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Transformers TutorialsGithub repo with tutorials to fine tune transformers for diff NLP tasks
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Face Mask DetectionFace masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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Bayesian Neural NetworksPytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
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Tensorflow BookAccompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
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Openml RR package to interface with OpenML
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Food Recipe Cnnfood image to recipe with deep convolutional neural networks.
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GlassesHigh-quality Neural Networks for Computer Vision 😎
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
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Breast cancer classifierDeep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
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ServenetService Classification based on Service Description
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MapclassifyClassification schemes for choropleth mapping.
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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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Mlj.jlA Julia machine learning framework
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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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SimpsonrecognitionDetect and recognize The Simpsons characters using Keras and Faster R-CNN
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Kaggle CompetitionsThere are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.
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SelfdrivingcarA collection of all projects pertaining to different layers in the SDC software stack
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IntrospectiveRepo for the ML_Insights python package
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Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
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Ml19 20aCS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering
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Mmaml ClassificationAn official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim
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