Popular repositories
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machine-learning-course
machine-learning-course PublicForked from faridcher/ml-course
R code for the assignments of Coursera machine learning course
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IntroStatLearning
IntroStatLearning PublicForked from ppaquay/IntroStatLearning
Solutions to exercises from the book "Introduction to Statistical Learning"
HTML
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RegModels
RegModels PublicForked from ppaquay/RegModels
Project for Regression Models course on Coursera
HTML
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interactive-coding-challenges
interactive-coding-challenges PublicForked from donnemartin/interactive-coding-challenges
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Python
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ML-From-Scratch
ML-From-Scratch PublicForked from eriklindernoren/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Python
Repositories
- modeldb Public Forked from VertaAI/modeldb
Open Source ML Model Versioning, Metadata, and Experiment Management
- awesome-production-machine-learning Public Forked from EthicalML/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
- Versioning-ML-Models-datasets-With-DVC Public Forked from amitvkulkarni/Versioning-ML-Models-datasets-With-DVC
Data Version Control, or DVC, is a data and ML experiment management tool that takes advantage of the existing engineering toolset that we are familiar with (Git, CI/CD, etc.). DVC is meant to be run alongside Git. The git and dvc commands will often be used in tandem, one after the other. While Git is used to storing and version code, DVC does …
- hub Public Forked from tensorflow/hub
A library for transfer learning by reusing parts of TensorFlow models.
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- Netflix_movie_recommendation Public Forked from Lokeshrathi/Netflix_movie_recommendation
Netflix movie recommendation to users using SVD
- data-augmentation-review Public Forked from AgaMiko/data-augmentation-review
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
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