Search Results for "tasks" - Page 7
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Showing 254 open source projects for "tasks"
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BMC
Notes on Scientific Computing for Biomechanics
This repository is a collection of lecture notes and code on scientific computing and data analysis for Biomechanics and Motor Control. -
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earthengine-py-notebooks
A collection of 360+ Jupyter Python notebook examples
...These notebooks are organized into thematic areas such as image processing, machine learning, visualization, filtering, and asset management, exposing users to real geospatial analysis tasks. The repository makes it easier to explore Earth Engine’s large geospatial data catalog, interactively display map layers, and generate visual insights without the need for external GIS software by leveraging interactive widgets and mapping libraries. Many of the notebooks integrate with tools like folium, ipyleaflet, and geemap to bridge Earth Engine data with Python’s rich ecosystem for plotting and analysis. ... -
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cnn-for-image-retrieval is a research-oriented project that demonstrates the use of convolutional neural networks (CNNs) for image retrieval tasks. The repository provides implementations of CNN-based methods to extract feature representations from images and use them for similarity-based retrieval. It focuses on applying deep learning techniques to improve upon traditional handcrafted descriptors by learning features directly from data. The code includes training and evaluation scripts that can be adapted for custom datasets, making it useful for experimenting with retrieval systems in computer vision. ...
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MvvmCross Plugins DateTimeConverter
A set of date and time converters
A MvvmCross plugin that provides date and time conversion utilities for cross-platform applications, simplifying time zone and formatting tasks. -
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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Mega Project List
List of practical projects that anyone can solve in any prog language
...The concept is simple but powerful: instead of just memorizing algorithms, you pick a project (for example “Binary to Decimal and Back Converter”), implement it in your favorite language, and gradually build a portfolio of varied programming tasks. The repository has been widely referenced as a go-to for developers looking for ideas to practice, build side-projects, or create interview-prep exercises. Each entry is described in plain language, often with optional “added complexity” suggestions. The repo encourages contributions: you can add new projects, or strip duplicate items, and you can choose any language to implement. -
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fastNLP
fastNLP: A Modularized and Extensible NLP Framework
fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models (covering tasks such as Chinese word segmentation, named entity recognition, syntactic analysis, text classification, text matching, metaphor resolution, summarization, etc.). ... -
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NLP Architect
A model library for exploring state-of-the-art deep learning
NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. NLP Architect is a... -
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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 structure. ... -
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Pure Bash Bible
A collection of pure bash alternatives to external processes
pure-bash-bible is a collection of pure Bash scripting techniques that demonstrate how to accomplish common and complex tasks using only built-in Bash features. Its goal is to reduce reliance on external tools like sed, awk, or grep, which can slow down scripts and add unnecessary dependencies. The project is organized as a reference book of function-based code snippets, each showcasing practical solutions for string manipulation, text processing, file operations, and more. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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NG6
An AngularJS Starter repo for AngularJS + ES6 + Webpack
...The project wires together Webpack and Babel to handle ES6 transpilation, asset bundling, and hot reloading during development. Gulp is used as an orchestrator to run Webpack, start a development server, and generate Angular boilerplate via tasks. The repository also includes a complete testing setup using Karma, Mocha, Chai, and Webpack so tests run through the same pipeline as application code. Styles are handled via SASS (node-sass), with each component encouraged to bundle its own styles, templates, and tests for strong locality. Overall, NG6-starter is designed as a “de facto” reference for developers who want to learn and adopt a modern workflow. -
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PowerShellForGitHub
Microsoft PowerShell wrapper for GitHub API
PowerShellForGitHub is a PowerShell module that wraps the GitHub API, allowing administrators and developers to script common GitHub operations directly from the shell. It provides cmdlets for repository management, issue and pull request automation, organization and team administration, and policy tasks such as branch protection or collaborator invites. The module handles authentication flows, pagination, and rate-limit concerns transparently so scripts can focus on business logic like triage, bulk updates, or migration tasks. Because it returns structured objects, outputs are easy to pipe into other PowerShell commands for filtering, reporting, or storage. ... -
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HeyUI.ext
UI Toolkit for Web, Vue3.0
...HeyUI also includes features such as validation, internationalization, and advanced components like trees, selectors, and date pickers, which help streamline common frontend tasks. -
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Ansible Examples
A few starter examples of ansible playbooks, to show features
...Whether you’re managing a handful of servers or deploying at scale, this repo provides starting points that illustrate how Ansible can streamline repetitive operational tasks. -
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FreeNAS/TrueNAS Scripts
Handy shell scripts for use on FreeNAS servers
FreeNAS-scripts is a collection of shell and Perl scripts tailored for FreeNAS and TrueNAS systems. These scripts assist administrators in monitoring system health, managing configurations, and performing routine maintenance tasks. -
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Higher
higher is a pytorch library
higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. The library introduces utilities that convert standard torch.nn.Module instances into “stateless” functional forms, so parameter updates can be treated as differentiable operations. It also provides differentiable implementations of common optimizers like SGD and Adam, making it possible to backpropagate through an arbitrary number of inner-loop optimization steps. ... -
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AdaNet
Fast and flexible AutoML with learning guarantees
AdaNet is a TensorFlow framework for fast and flexible AutoML with learning guarantees. AdaNet is a lightweight TensorFlow-based framework for automatically learning high-quality models with minimal expert intervention. AdaNet builds on recent AutoML efforts to be fast and flexible while providing learning guarantees. Importantly, AdaNet provides a general framework for not only learning a neural network architecture but also for learning to the ensemble to obtain even better models. At each... -
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Go canvas
Canvas is a Go drawing library based on OpenGL
...It is built using OpenGL for hardware acceleration and offers a simple, familiar interface for developers looking to draw shapes, images, and text in desktop applications or games. Canvas focuses on ease of use, speed, and flexibility, making it suitable for GUI overlays, visualizations, and real-time 2D rendering tasks. Its API is intentionally similar to JavaScript’s Canvas API, lowering the barrier for web developers transitioning into C++ graphics work. -
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Alfred-Workflow
Full-featured library for writing Alfred 3 & 4 workflows
...Alfred-Workflow takes care of a lot of the details for you, allowing you to concentrate your efforts on your workflow’s functionality. Alfred-Workflow supports macOS 10.7+ (Python 2.7). Easily launch background tasks (daemons) to keep your workflow responsive. Check for and install new workflow versions using GitHub releases. Post notifications with Notification Center (10.8+ only) Error handling and logging for easier development and support. “Magic” arguments to help development, debugging and management of the workflow. -
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API Correios
API correios.com.br in Python
pycorreios is a Python library aimed at interacting with Brazil’s postal service (Correios) APIs, making it easier for developers to track shipments, calculate postage, query service availability, and integrate with Brazilian e-commerce flows. The library abstracts the raw SOAP or REST endpoints exposed by Correios, providing Pythonic methods to perform common tasks like tracking a package by its code or computing shipping cost/lead time between postal codes. It handles serialization and mapping of API responses into Python objects so developers don’t manually parse raw XML or JSON. With this tool, developers building Brazilian market e-commerce or logistics solutions can integrate postal services smoothly. ... -
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frontend-mentor-challenges
My submissions for the Frontend Mentor Challenges
The frontend-mentor-challenges repository contains the author’s submissions to the platform Frontend Mentor — which offers structured UI/UX layout challenges (landing pages, components, form designs) for front-end developers. The codebase shows solutions in HTML, CSS, Javascript, with each challenge typically including an original design file plus the author’s implementation. It’s a great way to practice responsive layouts, CSS grid/flexbox mastery, UI refinement, and build portfolio-worthy... -
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Graph Nets library
Build Graph Nets in Tensorflow
...Graph Nets supports both TensorFlow 1 and TensorFlow 2, working with CPU and GPU environments, and includes educational Jupyter demos for shortest path finding, sorting, and physical prediction tasks. The codebase emphasizes modularity, allowing users to easily define their own edge, node, and global update functions. -
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taskKS
A small cooperative task framework for calling task fns asynchronously
For async calling of process functions (fns) this very-tiny-task subsystem may safe some efford for you. Could be used for running systems e.g.for a process with sub processes or as a base of a small (sub) system with multiple tasks and/or state machines. Source code in C. Should work in C++ as well. -
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nlp_chinese_corpus
Large Scale Chinese Corpus for NLP
...The repository gathers several major datasets, including Chinese Wikipedia entries, news articles, encyclopedia-style question answering data, community question answering data, and Chinese-English translation sentence pairs. Each dataset includes descriptions, download links, structure notes, and examples to help users understand how the data is formatted. The corpora can support tasks such as language model pretraining, word vector training, question answering, title generation, keyword generation, translation, and sentence representation learning. Overall, it is a practical resource hub for building or testing Chinese NLP models with larger and more varied datasets. -
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benchm-ml
A benchmark of commonly used open source implementations
This repository is designed to provide a minimal benchmark framework comparing commonly used machine learning libraries in terms of scalability, speed, and classification accuracy. The focus is on binary classification tasks without missing data, where inputs can be numeric or categorical (after one-hot encoding). It targets large scale settings by varying the number of observations (n) up to millions and the number of features (after expansion) to about a thousand, to stress test different implementations. The benchmarks cover algorithms like logistic regression, random forest, gradient boosting, and deep neural networks, and they compare across toolkits such as scikit-learn, R packages, xgboost, H2O, Spark MLlib, etc. ... -
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Replica Dataset
High-fidelity indoor 3D dataset for AI simulation and robotics
...The dataset also provides semantic and instance segmentations, planar decomposition, and navigation meshes, making it highly suitable for simulation, visual perception, and autonomous navigation tasks. Replica integrates seamlessly with AI Habitat, Meta’s framework for embodied AI training, enabling large-scale agent simulation and photorealistic rendering for reinforcement learning and robotics. Researchers can use Replica’s ReplicaViewer to interactively explore the 3D scenes.
