Programming
Software development: programming languages, coding, libraries and frameworks, software engineering and architecture, source control, developer tools, databases, and infrastructure.
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kube-hunter aquasecurity.github.io
Hunt for security weaknesses in Kubernetes clusters.
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Astrée absint.com
copyright: — Astrée automatically proves the absence of runtime errors and invalid concurrent behavior in C/C++ applications. It is sound for floating-point computations, very fast, and exceptionally precise. The analyzer also checks for MISRA/CERT/CWE/Adaptive Autosar coding…
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Codecov about.codecov.io
copyright: — Codecov is a company that provides code coverage tools for developers and engineering leaders to gain visibility into their code coverage. They offer flexible and unified reporting, seamless coverage insights, and robust coverage controls. Codecov supports over 20…
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abaplint abaplint.org
Linter for ABAP, written in TypeScript.
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Maven Dependency Graph zenodo.org
Snapshot of the whole Maven Central taken on September 6, 2018, stored in a graph database.
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Mining Software Repositories zenodo.org
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Empirical Software Engineering zenodo.org
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Ultimate Debian Database (UDD) wiki.debian.org
Data about various aspects of Debian (e.g. packages, bugs, mainteners) in the same SQL database.
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SWE-bench swebench.com
SWE-bench is a benchmark designed to evaluate the ability of AI models to solve real-world software engineering problems by generating fixes for issues found in open-source code repositories.
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SIR sir.unl.edu
Software-artifact infrastructure repository; Java, C, C++, and C# software together with test suites and fault data.
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RepoReapers Data Set reporeapers.github.io
Data set containing a collection of engineered software projects from GHTorrent.
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IEEE Software magazine publications.computer.org
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PROMISE promise.site.uottawa.ca
About 20 datasets related to software engineering research.
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PROMISE: Predictive Models and Data Analytics in Software Engineering conference promise.site.uottawa.ca
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MSR: Mining Software Repositories conference msrconf.org
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Empirical Software Engineering journal link.springer.com
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Code Reviews kin-y.github.io
Code reviews of OpenStack, LibreOffice, AOSP, Qt, Eclipse.
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KaVE kave.cc
Developer tool interaction data.
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Journal of Systems and Software journals.elsevier.com
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ICSE: International Conference on Software Engineering icse-conferences.org
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GrimoireLab grimoirelab.github.io
Free/Libre/Open Source tools for Software Development Analytics.
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FLOSSmole flossmole.org
Collaborative collection and analysis of free/libre/open source project data.
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Software Heritage Graph Dataset doi.org
Graph of the development history and file metadata of >80 million software projects from various forges (GitHub, Gitlab, Debian, PyPI, Google Code, etc) in a deduplicated and unified representation (paper here).
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IEEE Transactions on Software Engineering computer.org
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CoREBench comp.nus.edu.sg
Collection of 70 realistically Complex Regression Errors that were systematically extracted from the repositories and bug reports of four open-source software projects: Make, Grep, Findutils, and Coreutils.
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Boa boa.cs.iastate.edu
Domain-specific language and infrastructure that eases mining software repositories.
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Directory of MSR Datasets authecesofteng.github.io
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TestMiner andrehora.github.io
Software testing analysis for GitHub repositories.
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Contributors github.com
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Eric Douglas github.com
founder of OSSU
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Elixir elixir-lang.org
, a new functional programming language for the web based on the battle-tested Erlang Virtual Machine!
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Computer Science youtube.com
Yet another YouTube playlist I composed, this time about various CS topics.
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Signal Processing Playlist youtube.com
A YouTube playlist I composed about DFT/FFT, STFT and the Laplace transform - I was mad about my software engineering bachelor not including signal processing classes (except a bit in the quantum physics class).
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The real reason most ML projects fail towardsdatascience.com
Focus on clear business objectives, avoid pivots of algorithms unless you have really clean code, and be able to know when what you coded is "good enough".
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Gradient descent algorithms in a saddle point sebastianruder.com
Visualize how different optimizers interacts with a saddle points.
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Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source research.googleblog.com
Parsey McParseface's birth, a neural syntax tree parser.
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Neural Networks and Deep Learning, ch.2 neuralnetworksanddeeplearning.com
Overview on how does the backpropagation algorithm works.
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Window Functions en.wikipedia.org
Wikipedia page that lists some of the known window functions - note that the Hann-Poisson window is specially interesting for greedy hill-climbing algorithms (like gradient descent for example).
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Gradient descent algorithms in an almost flat landscape devblogs.nvidia.com
Visualize how different optimizers interacts with an almost flat landscape.
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Uncle Bob's Principles Of OOD butunclebob.com
Not only the SOLID principles are needed for doing clean code, but the furtherless known REP, CCP, CRP, ADP, SDP and SAP principles are very important for developping huge software that must be bundled in different separated packages.
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Some other books I have read books.google.ca
Some books listed here are less related to deep learning but are still somehow relevant to this list.
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Neural Turing Machines arxiv.org
Outstanding for letting a neural network learn an algorithm with seemingly good generalization over long time dependencies. Sequences recall problem.
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SentEval: An Evaluation Toolkit for Universal Sentence Representations arxiv.org
A Python framework to benchmark your sentence representations on many datasets (NLP tasks).
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ParlAI: A Dialog Research Software Platform arxiv.org
Another Python framework to benchmark your sentence representations on many datasets (NLP tasks).
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Clean Coder amazon.ca
Learn how to be professional as a coder and how to interact with your manager. This is important for any coding career.
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TensorLayerX tensorlayerx.readthedocs.io
Using TensorFlow like PyTorch. (Api docs)
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