Search Results for "result" - Page 6
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Showing 217 open source projects for "result"
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1
SentEval
A python tool for evaluating the quality of sentence embeddings
SentEval is a standardized toolkit for evaluating sentence embeddings across a wide spectrum of downstream tasks and probing tests. It defines a simple interface—provide an encoder function from sentences to vectors—and then runs consistent training/evaluation loops for tasks like sentiment, entailment, paraphrase, and semantic textual similarity. The suite also contains linguistic probing tasks that illuminate what properties embeddings capture, such as tense, word order, or syntactic... -
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Spaceship Generator
A Blender script to procedurally generate 3D spaceships
A Blender script to procedurally generate 3D spaceships from a random seed. Install Blender 2.80 or greater. Download newest add_mesh_SpaceshipGenerator.zip from the Releases section. Under Edit, Preferences, Add-ons, Install, open the downloaded ZIP file. Under Edit, Preferences, Add-ons enable the "Add Mesh Spaceship Generator" script (search for "spaceship"). Add a spaceship in the 3D View under Add, Mesh, Spaceship. Expand the Spaceship tab that appears in the bottom left of the viewport... -
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PerfKit Benchmarker
PerfKit Benchmarker (PKB) contains a set of benchmarks
...The tool supports a wide range of environments, including major cloud platforms, Kubernetes clusters, and even local hardware, making it highly versatile for performance analysis. It simplifies the process of running complex benchmarks by providing unified command-line workflows that handle resource provisioning, execution, and result collection. The framework includes a comprehensive set of predefined benchmarks covering areas such as compute, storage, networking, and distributed systems workloads. It is widely used by researchers, engineers, and organizations to evaluate cloud architectures and make informed infrastructure decisions. -
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GoogleScraper
Python tool for scraping search engine results from many providers
GoogleScraper is a Python-based tool designed to automatically collect and process search engine results from multiple providers. It enables developers and researchers to programmatically query search engines and extract useful information such as links, titles, and result descriptions. GoogleScraper supports several major search engines and can be used to gather structured datasets from search result pages for further analysis. It provides two different scraping approaches: sending direct HTTP requests that simulate browser traffic or controlling real browsers through automation frameworks. By running automated queries and collecting results in bulk, the project can assist with tasks such as SEO research, trend discovery, or building datasets of websites related to specific keywords. ... -
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Streisand
Streisand sets up a new server running your choice
...This includes OpenVPN, WireGuard, Shadowsocks, OpenConnect, and Tor bridges, often with optional add-ons like obfuscation or stunnel to resist throttling and detection. The result is a private website that hosts client software downloads and setup instructions for easy access. Streisand supports major cloud providers like AWS, Azure, Google Cloud, Linode, DigitalOcean, and Rackspace, while also offering installation options for advanced users with their own servers. -
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MySales
Program to calculate item sales and print the result.
...These products can be added to a sales list in which it is possible to indicate the number of units of each item, as well as apply a discount for each of the items. In addition you can indicate a discount on the final result and subtract a constant value to round the result if desired. The program allows you to format the list and the result in a plain text file to print the sales calculation. -
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Spinning Up in Deep RL
Educational resource to help anyone learn deep reinforcement learning
...At OpenAI, we believe that deep learning generally, and deep reinforcement learning specifically, will play central roles in the development of powerful AI technology. To ensure that AI is safe, we have to come up with safety strategies and algorithms that are compatible with this paradigm. As a result, we encourage everyone who asks this question to study these fields. However, while there are many resources to help people quickly ramp up on deep learning, deep reinforcement learning is more challenging to break into. -
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setuplib
Extensions for setuptools - detailed information on entry points
The *setuplib* package provides core functions for the query of meta information and installation repositories of *Python* packages. It provides query and filter options on the installed packages and the available information, while displaying the result data in various formats, e.g. as table, list, or JSON, XML, YAML, CSV, etc. The provided commands and extension points integrate seamless into the standard *setuptools* and/or *distutils*. The *setuplib* is member of the group *setuplib* of extension components for the common *setup.py* installer. The targeted users are mainly developers, advanced users, and system administrators. -
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hug
Embrace the APIs of the future. For developing APIs
hug aims to make developing Python-driven APIs as simple as possible, but no simpler. As a result, it drastically simplifies Python API development. Make developing a Python-driven API as succinct as a written definition. The framework should encourage code that self-documents. It should be fast. A developer should never feel the need to look somewhere else for performance reasons. Writing tests for APIs written on-top of hug should be easy and intuitive. -
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django-rest-auth
This app makes it extremely easy to build Django powered SPA's
...Tivix specializes in backend web development for Fortune 500 enterprises, venture-backed startups and NGOs. We reduce development risk by using sprint methodology and standards-based code to get applications to market quickly. A well-built backend will result in a seamless user experience that scales as you grow. A poorly-built backend causes bugs, glitches and potential security issues. -
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Django REST Pandas
Serves up Pandas dataframes via the Django REST Framework
Django REST Pandas (DRP) provides a simple way to generate and serve pandas DataFrames via the Django REST Framework. The resulting API can serve up CSV (and a number of other formats for consumption by a client-side visualization tool like d3.js. The design philosophy of DRP enforces a strict separation between data and presentation. This keeps the implementation simple, but also has the nice side effect of making it trivial to provide the source data for your visualizations. This... -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
...The repo provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance. -
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Finetune Transformer LM
Code for "Improving Language Understanding by Generative Pre-Training"
finetune-transformer-lm is a research codebase that accompanies the paper “Improving Language Understanding by Generative Pre-Training,” providing a minimal implementation focused on fine-tuning a transformer language model for evaluation tasks. The repository centers on reproducing the ROCStories Cloze Test result and includes a single-command training workflow to run the experiment end to end. It documents that runs are non-deterministic due to certain GPU operations and reports a median accuracy over multiple trials that is slightly below the single-run result in the paper, reflecting expected variance in practice. The project ships lightweight training, data, and analysis scripts, keeping the footprint small while making the experimental pipeline transparent. ... -
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Colonization Mod Collection
Several mods for Civilization IV: Colonization
...This allows joined work without the time consuming and bug prone process of moving modpacks between source codes. This mean the source code is made up of multiple features, which can be tweaked by XML and as a result it is possible to make total conversion mods without knowing how to program. What this is NOT is a bunch of nearly identical mods. The design goal is to make each mod so unique that the average player should not notice that the source code is shared. -
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Scikit-plot
An intuitive library to add plotting functionality to scikit-learn
Single line functions for detailed visualizations. Scikit-plot is the result of an unartistic data scientist's dreadful realization that visualization is one of the most crucial components in the data science process, not just a mere afterthought. Gaining insights is simply a lot easier when you're looking at a colored heatmap of a confusion matrix complete with class labels rather than a single-line dump of numbers enclosed in brackets. -
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Compare GAN
Compare GAN code
compare_gan is a research codebase that standardizes how Generative Adversarial Networks are trained and evaluated so results are comparable across papers and datasets. It offers reference implementations for popular GAN architectures and losses, plus a consistent training harness to remove confounding differences in optimization or preprocessing. The library’s evaluation suite includes widely used metrics and diagnostics that quantify sample quality, diversity, and mode coverage. With... -
17
AerinSistemas-Noname
Elasticsearch to Pandas dataframe or CSV
API and command line utility, written in Python, for querying Elasticsearch exporting result as documents into a CSV file. The search can be done using logical operators or ranges, in combination or alone. The output can be limited to the desired attributes. Also ToT can insert the querying to a Pandas Dataframe or/and save its in a HDF5 container (under development). -
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autocrc uses 32-bit CRC-sums to verify the integrity of files. The CRC-sums are parsed both from filenames and from sfv-files. autocrc can perform CRC-checks recursively. After it's done it prints a summary of the result.
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pyspider
A powerful Spider(Web Crawler) system in Python
pyspider is a powerful Spider(Web Crawler) system in Python. Components are connected by message queue. Every component, including message queue, is running in their own process/thread, and replaceable. That means, when process is slow, you can have many instances of processor and make full use of multiple CPUs, or deploy to multiple machines. This architecture makes pyspider really fast. benchmarking. Since pyspider has various components, you can just run pyspider to start a standalone and... -
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PyUltimateRobot
Controls any Robot in Python
Developed on Python to leverage state-of-the-art extensibility and easily integrated plugins Able to use low cost robots with the accuracy and dexterity of much more expensive robots, achieved in part by: a) Ability to drive movement by inexpensive DC gear head motors, including the inherent ability to specify movement by applied force rather than strict space/time control that steppers impose. b) Arms and linkages don't have to have super tight tolerances, because accuracy is... -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. The new version of the code has not been fully tested, it has been tested... -
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Tangent
Source-to-source debuggable derivatives in pure Python
...In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. Tangent works on a large and growing subset of Python, provides extra autodiff features other Python ML libraries don't have, has reasonable performance, and is compatible with TensorFlow and NumPy. -
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Microarray Integrator (MAI)
Microarray Integrator for heterogeneous human/mouse Affymetrix arrays
The Microarray Integrator is freely available programs to integrate heterogeneous Affymetrix microarrays for human and mouse. The cell-type-specific genes or condition-specific genes can be screened in the integrated microarrays by MAI result. -
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Orions Grand Inquisitions Mod
An Epic Expansion for Civ4 BTS
This is a Beyond the Sword (BTS 3.19) project for Civilization 4. It is a 1GB download. OGI is the result of countless hours of difficult programming in SDK, Python and XML that is designed to provide a rich variety of strategic choice and enjoyment for all. If you want to play Civilization, then OGI is the mod to play. Make sure to download the art file (FPK file). The mod will not run without it. -
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littletable is a lightweight in-memory data manager of collections of Python objects, providing ORM-like access for querying and joining data using object attributes as pseudo-columns.
