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Discover 380 open source projects
Showing 141-160 of 380 projects
BoltzmannEntropy/interviews.ai
This repository provides interview preparation resources for AI and machine learning developers.
datawhalechina/competition-baseline
A collection of code examples and baselines for common data science and machine learning competitions.
Nixtla/statsforecast
A fast, open-source library for time series forecasting using statistical and econometric models.
FluxML/Flux.jl
Flux is a machine learning library for the Julia programming language that provides a user-friendly and expressive interface for building neural networks.
makcedward/nlpaug
A data augmentation library for natural language processing (NLP) tasks, enabling developers to improve model performance.
khanhnamle1994/cracking-the-data-science-interview
A comprehensive collection of cheatsheets, books, questions, and portfolio resources for data science and machine learning interview prep.
tensorflow/probability
Probabilistic reasoning and statistical analysis tools built on TensorFlow for data scientists and ML researchers.
Azure/MachineLearningNotebooks
A collection of Python notebooks with machine learning and deep learning examples using the Azure ML SDK.
dsgiitr/d2l-pytorch
This project reproduces the book 'Dive Into Deep Learning' by adapting the code from MXNet into PyTorch.
mljar/mercury
Create interactive web apps from Python notebooks with the mercury library.
microsoft/FLAML
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
jphall663/awesome-machine-learning-interpretability
A curated list of responsible machine learning resources for interpretable AI development.
deepchecks/deepchecks
Deepchecks is an open-source solution for thorough testing of ML models and data from research to production.
gopherdata/gophernotes
The Go kernel for Jupyter notebooks and nteract, enabling data science and numerical computing in Go.
quadratichq/quadratic
A spreadsheet tool with AI capabilities for data analysis, engineering, and visualization.
jeroenjanssens/data-science-at-the-command-line
A command-line toolkit for data scientists with tools for working with data, visualizing, and automating workflows.
gee-community/geemap
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
justmarkham/scikit-learn-videos
Jupyter notebooks for learning and experimenting with the popular scikit-learn machine learning library.
ruc-datalab/DeepAnalyze
DeepAnalyze is an agentic LLM for autonomous data science, automating data analysis and report generation.
jtablesaw/tablesaw
A high-performance Java library for data analysis, visualization, and machine learning.
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