Search Results for "python code editor"
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Showing 10 open source projects for "python code editor"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Atera IT AutopilotIT Autopilot takes the pressure off your team by handling first-tier support across the channels your end users already live in — email, chat, Slack, Teams, and your Customer Portal. It doesn’t just respond to end-user queries, issues, and crises — it solves them.
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AutoResearchClaw
Autonomous research from idea to paper. Chat an Idea. Get a Paper 🦞
AutoResearchClaw is an open-source framework designed to automatically generate full academic research papers from a single idea or topic. Built in Python, it orchestrates a multi-stage research pipeline that gathers literature, formulates hypotheses, runs experiments, analyzes results, and writes the final paper. The system retrieves real academic references from sources such as arXiv and Semantic Scholar to ensure credible citations. It can automatically generate code for experiments, run them in a sandbox environment, and analyze the results with statistical methods. ... -
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AI Researcher
An autonomous AI researcher
AI Researcher is an experimental open-source project that demonstrates how multiple AI agents can collaborate to conduct complex research tasks from start to finish with minimal human intervention. It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code. Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they... -
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Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The... -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. ... -
Awardco Employee RecognitionEverything you love about Amazon is now available for rewards and recognition. Awardco has partnered with Amazon Business to bring millions of reward choices, lower vendor fees and dollar-for-dollar recognition spend to your organization. More choice, more capability, and less spend - all in one simple platform.
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wav2letter++
Facebook AI research's automatic speech recognition toolkit
...All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run export KENLM_ROOT_DIR=... so that wav2letter++ can find it. This is needed because KenLM doesn't support a make install step.wav2letter++ expects audio and transcription data to be prepared in a specific format so that they can be read from the pipelines. Each dataset (test/valid/train) needs to be in a separate file with one sample per line. ... -
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Data Science at the Command Line
Data science at the command line
Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful... -
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Pydicom by examples
Basic and intermediate examples of DICOM library with Jupyter
Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/ -
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fPotencia
Power flow library in C++
...Since Power system simulations have started needing to be executed in parallel, the old C-like designs are outdated; modular design is now needed to launch many simulations at the same time based on a base circuit. fPotencia is programmed in C++, but my intention is to bring JAVA, C#, Python and perhaps MATLAB versions of it. All of them in native code and whenever possible with the same modular structure. -
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Scripture
Biblical Data-Research Tool
the real is finite; the irreal is infinite. The unreal is bigger than infinite. real is the physical; irreal is the possible. Unreal is the incoherent, useless, meaningless, insane.. all religions offend me, when someone tries to sell me their delusions. when someone say i can't have morals without religion. when someone doesn't hold others to their level just because of a iron age book. when they refuse to understand why faith is harmful. when they kill and hate for their imagenary gods.... -
GoAnywhere Managed File Transfer (MFT)GoAnywhere MFT provides secure managed file transfer for enterprises. Deployable on-premise, in the cloud, or in hybrid environments, GoAnywhere MFT software enables organizations to exchange data among employees, customers, and trading partners, as well as between systems, securely. GoAnywhere MFT was a recipient of the Cybersecurity Excellence Award for Secure File Transfer.
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Make AsciiDoc part of your literate programming tool set. With eWEB you can weave and tangle literate programs written as AsciiDoc documents, using embedded WEB code snippets.
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