55 projects for "data science" with 2 filters applied:

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  • 1
    Computer Science Flash Cards

    Computer Science Flash Cards

    Mini website for testing both general CS knowledge and enforce coding

    This repository collects concise flash cards that cover the core ideas of a traditional computer science curriculum with a focus on interview readiness. The cards distill topics like time and space complexity, classic data structures, algorithmic paradigms, operating systems, networking, and databases into short, testable prompts. They are designed for spaced-repetition style study so you can cycle frequently through fundamentals until recall feels automatic.
    Downloads: 1 This Week
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  • 2
    Computer Science courses video lectures

    Computer Science courses video lectures

    List of Computer Science courses with video lectures

    This repository is a curated list of full-length computer science video lecture series across many universities and MOOC platforms, helping learners assemble their own curriculum. The list spans foundational topics like algorithms, data structures, operating systems, computer networks, machine learning, and more, all delivered via lectures rather than just textual tutorials. The contributor guidelines encourage adding high-quality courses (not just casual tutorials) so the list remains academically oriented. ...
    Downloads: 7 This Week
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  • 3
    NYC Taxi Data

    NYC Taxi Data

    Import public NYC taxi and for-hire vehicle (Uber, Lyft)

    ...It also contains example analyses—spatial and temporal visualizations like maps, time-series plots, and hotspot detection—highlighting insights such as patterns of demand, peak times, and geospatial distributions. The repository is often used as a benchmark dataset and example for teaching, benchmarking, and demonstration purposes in the data science and urban analytics communities.
    Downloads: 1 This Week
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  • 4
    SIT742

    SIT742

    SIT742: Modern Data Science

    SIT742: Modern Data Science.
    Downloads: 2 This Week
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  • 5
    RStudio Cheatsheets

    RStudio Cheatsheets

    Curated collection of official cheat sheets for data science tools

    The cheatsheets repository from RStudio is a curated collection of official cheat sheets for R, RStudio, the tidyverse, Shiny, and related data science tools. Each cheat sheet is a single (or double) page PDF that condenses important syntax, functions, workflows, and best practices into a visually organized format ideal for quick reference. The repository contains source files (R Markdown or LaTeX) that generate the cheat sheets, version history, and metadata (title, author, description) for each. ...
    Downloads: 2 This Week
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  • 6
    dplyr

    dplyr

    dplyr: A grammar of data manipulation

    dplyr is an R package that provides a consistent and intuitive grammar for data manipulation, enabling users to filter, arrange, summarize, and transform data efficiently. Part of the tidyverse ecosystem, dplyr simplifies complex data operations through a clear and readable syntax, whether working with data frames, tibbles, or databases. It is widely used in data science and statistical analysis workflows.
    Downloads: 0 This Week
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  • 7
    Jupyter Docker Stacks

    Jupyter Docker Stacks

    Ready-to-run Docker images containing Jupyter applications

    Jupyter Docker Stacks provides a curated set of ready-to-run Docker container images that bundle Jupyter applications with popular data science and computing tools, enabling users to quickly start working in a reproducible environment. These stacks support a range of use cases, from lightweight base notebook images to full featured environments that include scientific computing libraries, machine learning tools, and IDE-like notebook interfaces, all within Docker containers that run consistently across machines. ...
    Downloads: 3 This Week
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  • 8
    InterviewGuide

    InterviewGuide

    Repository that collects extensive computer science

    ...The repository contains curated algorithm and data structure explanations, collections of interview questions, high-frequency topics, and practical problem-solving guides to help users brush up on skills that are often tested in technical interviews.
    Downloads: 0 This Week
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  • 9
    kagglehub

    kagglehub

    Python library to access Kaggle resources

    ...The library is designed to work both inside and outside Kaggle Notebooks, with native behavior that can adapt when it runs in Kaggle’s hosted notebook environment. It is useful for machine learning workflows where data, models, and notebook artifacts need to be pulled into scripts, experiments, or pipelines. kagglehub also supports authentication so users can access private or restricted resources when their account has permission. Its main value is making Kaggle assets easier to consume programmatically in Python-first data science and AI development workflows.
    Downloads: 0 This Week
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  • 10
    all AI news

    all AI news

    A list of online news & info sources in the AI/ML/Data Science space

    all AI news is a curated repository that aggregates and organizes sources for AI-related news and information. It serves as a centralized collection of feeds, links, and resources that can be used to build news aggregation systems or stay updated on developments in artificial intelligence. The project is designed to be easily extendable, allowing users to add new sources or customize the dataset for their specific needs. It is particularly useful for developers building AI news platforms,...
    Downloads: 0 This Week
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  • 11
    huihut interview

    huihut interview

    A summary of C/C++ technical interview basics

    interview is a curated repository of technical interview questions, solutions, and explanations covering a wide range of topics in computer science and software engineering. It aims to help developers prepare for job interviews by providing sample problems in algorithms, data structures, system design, databases, and programming language intricacies, often with code snippets and discussion. The repo is designed so learners can practice real interview scenarios, compare approaches, and internalize foundational concepts that are frequently tested by tech companies. ...
    Downloads: 0 This Week
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  • 12
    FairChem

    FairChem

    FAIR Chemistry's library of machine learning methods for chemistry

    FAIRChem is a unified library for machine learning in chemistry and materials, consolidating data, pretrained models, demos, and application code into a single, versioned toolkit. Version 2 modernizes the stack with a cleaner core package and breaking changes relative to V1, focusing on simpler installs and a stable API surface for production and research. The centerpiece models (e.g., UMA variants) plug directly into the ASE ecosystem via a FAIRChem calculator, so users can run relaxations,...
    Downloads: 0 This Week
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  • 13
    Otter-Grader

    Otter-Grader

    A Python and R autograding solution

    Otter Grader is a light-weight, modular open-source autograder developed by the Data Science Education Program at UC Berkeley. It is designed to work with classes at any scale by abstracting away the autograding internals in a way that is compatible with any instructor's assignment distribution and collection pipeline. Otter supports local grading through parallel Docker containers, grading using the autograder platforms of 3rd party learning management systems (LMSs), the deployment of an Otter-managed grading virtual machine, and a client package that allows students to run public checks on their own machines. ...
    Downloads: 0 This Week
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  • 14
    Awesome Network Analysis

    Awesome Network Analysis

    A curated list of awesome network analysis resources

    awesome-network-analysis is a curated list of resources focused on network and graph analysis, including libraries, frameworks, visualization tools, datasets, and academic papers. It covers multiple programming languages and domains like sociology, biology, and computer science. This repository serves as a central reference for researchers, analysts, and developers working with network data.
    Downloads: 0 This Week
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  • 15
    applied-ml

    applied-ml

    Papers & tech blogs by companies sharing their work on data science

    The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a...
    Downloads: 0 This Week
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  • 16
    STLplus C++ library collection

    STLplus C++ library collection

    C++ Library collection

    Containers to extend STL: graph, tree, matrix, smart-pointer. Persistence (serialisation) of C++ data structures. Portability: subprocesses, TCP, file system. Reusable subsystems: library manager, message handler. Portable between OSs and compilers. Documentation is included in the download and is also available on the STLplus website http://stlplus.sourceforge.net. The headers are intended to be readable, so look at them too for usage information on each function and class.
    Downloads: 0 This Week
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  • 17
    The OpenHMS Project
    OpenHMS brands a collection of projects and many subprojects developed by Health Market Science. This is a robust collection of development libraries, APIs, and tools oriented around data manipulation and professional software development.
    Downloads: 1 This Week
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  • 18

    corlpack

    Ada Library for heterogenous vectors

    Corlpack consists of a library and tools aiming to simplify and accelerate programming of small, scientific, computational applications. One of the planned features is the loading and saving of a variety of research data into a single generic data structure, that is much like the named list from R, thus removing the need to learn many data access APIs.
    Downloads: 0 This Week
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  • 19
    Data science blogs

    Data science blogs

    A curated list of data science blogs

    Data Science Blogs is a curated repository that aggregates a wide range of high-quality blogs and resources related to data science, machine learning, and analytics into a single organized collection. It serves as a discovery platform for practitioners, researchers, and learners who want to stay updated with industry trends, techniques, and insights without manually searching for reliable sources.
    Downloads: 0 This Week
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  • 20
    CARTOframes

    CARTOframes

    CARTO Python package for data scientists

    A Python package for integrating CARTO maps, analysis, and data services into data science workflows. Python data analysis workflows often rely on the de facto standards pandas and Jupyter notebooks. Integrating CARTO into this workflow saves data scientists time and energy by not having to export datasets as files or retain multiple copies of the data. Instead, CARTOframes give the ability to communicate reproducible analysis while providing the ability to gain from CARTO's services like hosted, dynamic or static maps and Data Observatory augmentation.
    Downloads: 0 This Week
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  • 21
    libgwyfile

    libgwyfile

    Read and write Gwyddion GWY files

    Libgwyfile is a small, embeddable library for reading and writing of Gwyddion GWY files as foreign data. This means independently of Gwyddon and without adopting its data object model.
    Downloads: 1 This Week
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  • 22
    Java Marine API

    Java Marine API

    NMEA 0183 library for Java

    Java Marine API is an NMEA 0183 library for Java. For furher info and latest source code, see project's Github pages. https://github.com/ktuukkan/marine-api/
    Downloads: 0 This Week
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  • 23
    krangl

    krangl

    krangl is a {K}otlin DSL for data w{rangl}ing

    krangl is a {K}otlin library for data w{rangl}ing. Implementing a grammar of data manipulation using a modern functional-style API, allows filtering, transforming, aggregating, and reshaping tabular data. krangl is heavily inspired by the amazing dplyr for R. krangl is written in Kotlin, excels in Kotlin, but emphasizes as well on good java-interop. It is mimicking the API of dplyr, while carefully adding more typed constructs where possible.
    Downloads: 0 This Week
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  • 24
    Julia.jl

    Julia.jl

    Curated decibans of Julia programming language

    Julia.jl is a curated collection of knowledge resources for the Julia programming language, designed to support high-performance numerical analysis and computational science. The repository aggregates diverse content across domains such as mathematics, physics, data science, optimization, machine learning, and supercomputing. It functions as a structured index, helping developers, researchers, and learners easily find materials to deepen their understanding of Julia’s ecosystem. The project emphasizes community contributions, encouraging users to expand and refine the resource pool. ...
    Downloads: 4 This Week
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  • 25
    Pythonidae

    Pythonidae

    Curated decibans of scientific programming resources in Python

    Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities,...
    Downloads: 1 This Week
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