Search Results for "code analysis"
Sort By:
21 projects for "code analysis" with 2 filters applied:
-
Cut Cloud Costs with Google Compute EngineSave on compute costs with Compute Engine. Reduce your batch jobs and workload bill 60-91% with Spot VMs. Compute Engine's committed use offers customers up to 70% savings through sustained use discounts. Plus, you get one free e2-micro VM monthly and $300 credit to start.
-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
1
Source Code Hunter
Source code analysis of Spring, MyBatis, Redis, Netty, and more
Source Code Hunter is an open source project by Doocs that focuses on analyzing and explaining the source code of widely used Java frameworks and libraries. It helps developers deepen their understanding of internal implementations, design patterns, and performance optimizations by walking through actual codebases such as Spring, MyBatis, Netty, Tomcat, and others. The project aims to bridge the gap between theoretical knowledge and real-world application by providing step-by-step annotated... -
2
PocketFlow Tutorial Codebase Knowledge
Codebase to Tutorial
...It supports both GitHub URL crawling and local directory analysis, and can tailor output tutorials to different languages, making it accessible for international developers. -
3
LeetCode Book
Comprehensive study guide for coding interviews
LeetCode-Book is a comprehensive study guide for coding interviews that consolidates algorithm patterns, data-structure templates, and worked LeetCode solutions. It organizes problems by topic—arrays, linked lists, stacks/queues, trees/graphs, dynamic programming, greedy, backtracking, and math—so you can study systematically. Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. Many entries include... -
4
Interviews
Comprehensive computer science and interview preparation guide
Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and... -
Managed MySQL, PostgreSQL, and SQL Databases on Google CloudCloud SQL is a fully managed relational database for MySQL, PostgreSQL, and SQL Server. We handle patching, backups, replication, encryption, and failover—so you can focus on your app. Migrate from on-prem or other clouds with free Database Migration Service. IDC found customers achieved 246% ROI. New customers get $300 in credits plus a 30-day free trial.
-
5
Python Data Science Handbook
Python Data Science Handbook: full text in Jupyter Notebooks
...The project is designed for data scientists, researchers, and anyone transitioning into Python-based data work; it assumes you already know basic Python and focuses more on how to use the ecosystem effectively. Each chapter is a standalone Jupyter notebook, with runnable code, explanatory prose, visuals, and examples showing how to handle data-wrangling, exploratory data analysis, machine learning workflows, and visualization. The repository is freely available and the code is released under the MIT license; the textual content is released under a Creative Commons license. Users can also launch the notebooks in Google Colab or Binder directly, making it extremely accessible. -
6
Data Analysis for the Life Sciences
Rmd source files for the HarvardX series PH525x
This repository holds the R Markdown (.Rmd) source files for the PH525x / HarvardX course series (Data Analysis for the Life Sciences / Genomics) managed by GenomicsClass. It functions as the canonical source for course lab exercises, lecture modules, and reading materials in reproducible format. Students and learners use these R Markdown files to follow along, knit notebooks, run code samples, and complete the lab-based assignments. The repo is licensed under MIT, allowing reuse and modification. ... -
7
Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. -
8
Analyze
Draven's Blog
...Each analysis breaks down design choices, implementation details, and architectural patterns, making difficult topics more approachable. The repository emphasizes clarity and structured explanations, serving both as a study resource and a reference for engineers exploring system internals. By gathering analyses of diverse projects in one place, analyze helps learners and practitioners bridge the gap between theory and large-scale production code. -
9
Deep Learning for Medical Applications
Deep Learning Papers on Medical Image Analysis
Deep-Learning-for-Medical-Applications is a repository that compiles deep learning methods, code implementations, and examples applied to medical imaging and healthcare data. The project addresses domain-specific challenges like segmentation, classification, detection, and multimodal data (e.g. MRI, CT, X-ray) using state-of-the-art architectures (e.g. U-Net, ResNet, GAN variants) tailored to medical constraints (small datasets, annotation costs, class imbalance). It includes Jupyter... -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
-
10
Kaleidoscope
Haskell LLVM JIT Compiler Tutorial
This repository is a Haskell port of the classic LLVM “Kaleidoscope” tutorial that walks you through building a tiny programming language from scratch. It covers the complete pipeline: tokenizing and parsing a simple, expression-oriented language, constructing an AST, and generating LLVM IR with a JIT so you can execute code interactively. Along the way it adds language features like user-defined functions, conditionals, loops, and operator precedence, demonstrating how each addition impacts... -
11
Data Science Specialization
Course materials for the Data Science Specialization on Coursera
The Data Science Specialization Courses repository is a collection of materials that support the Johns Hopkins University Data Science Specialization on Coursera. It contains the source code and resources used throughout the specialization’s courses, covering a broad range of data science concepts and techniques. The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. ... -
12
Matplotlib tutorial
Matplotlib tutorial for beginner
...Because it is code-first, users can copy, modify, and run the examples on their own datasets, encouraging experimentation and deepening understanding. -
13
C/C++ Program Perfometer
The program enables to get performance of C/C++ program for any metric
The program enables to get performance of C/C++ program and separated pieces of code for any metrics (for instance : time, memory, metrics defined by user etc.). The measurement results are represented in detailed/summary reports. Latest Version: 2.10 -
14
KMeansAniX
Animation of kmeans clustering using X Window System
Open source animation of kmeans clustering in X Window System using the C++ libplotter library. Supports Linux, Mac, and BSD. Includes common initialization methods such as Forgy, Macqueen, random, and angular. Sample videos are available through the Files Tab above. The SVN repo is accessible thorugh the Code Tab above. Requires a C++ compiler, libplot-dev, and libncurses5-dev Mac alternative to libplot-dev: macports plotutils +x11 -
15
musicinformationretrieval.com
Instructional notebooks on music information retrieval
musicinformationretrieval.com is a collection of instructional materials for music information retrieval (MIR). These materials contain a mix of casual conversation, technical discussion, and Python code. These pages, including the one you're reading, are authored using Colab notebooks. -
16
ShiVaSmiles
A slick interface to see various scale analysis algorithms in action.
...The main website is built as a wiki gathering info and examples on the various implemented algorithms. The combination of the application and its wiki intend to constitute a nice little pedagogic toolkit for multiscale analysis. Feel free to contribute code or wiki content ! -
17
The C/C++ Program Perfometer is an open source tool which enables the programmer to measure the comparative performance of a C/C++ program or of separated pieces of code by one of several desired metrics: e.g., time, memory, or metrics defined by the prog
-
18
MSR Tools is a source code evolution analysis tool. It consists of a framework for mining software repositories and tools for metric calculation, visualization, defect prediction.
-
19
C4 is a C++ class library for analyzing sound files, particularly spoken and sung phonations. C4 provides features such as frequency analysis, pitch extraction, or calculation of voice quality parameters (e.g. alpha ratio, HNR, jitter, etc.).
-
20
This is a implementation of the 'enhanced Topic-based Vector Space Model' (eTVSM) using the python language. A Java-Version and maybe other java-code contributions are planned.
-
21
InsecureWebApp is a web app that includes common web application vulnerabilities including SQL&Html Injection- see owasp.org. It is a target for automated and manual penetration testing, source code analysis, vulnerability assessments and threat modeling.
- Previous
- You're on page 1
- Next
