Search Results for "task" - Page 29
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Showing 1769 open source projects for "task"
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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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Free Manga Downloader
Free Manga Downloader
The Free Manga Downloader is an open source application written in Object-Pascal for managing and downloading manga from various websites. -
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react-native-progress
Progress indicators and spinners for React Native
...It supports both determinate progress (showing a specific fraction completed) and indeterminate spinners for ongoing tasks with unknown duration. Because it is MIT-licensed and widely used, it has become a common choice in React Native projects for loading states, file uploads, and task progress displays. -
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ZeroMQ
ZeroMQ core engine in C++, implements ZMTP/3.1
...It gives you sockets that carry atomic messages across various transports like in-process, inter-process, TCP, and multicast. You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It's fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems. Libzmq is mainly written in C++98 with some optional C++11-fragments. ... -
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Crawlab
Distributed web crawler admin platform for spiders management
...The frontend app interacts with the master node, which communicates with other components such as MongoDB, SeaweedFS and worker nodes. Master node and worker nodes communicate with each other via gRPC (a RPC framework). Tasks are scheduled by the task scheduler module in the master node, and received by the task handler module in worker nodes, which executes these tasks in task runners. Task runners are actually processes running spider or crawler programs, and can also send data through gRPC (integrated in SDK) to other data sources, e.g. MongoDB. -
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Art of Illusion is a full featured 3D modelling, rendering, and animation studio. It is written entirely in Java, and can run on almost any operating system.
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chromebook_batterymanage
battery threshold function in chromebook devices with windows
...Enable the battery threshold function, and stop charging at 80% by default to protect the battery. You need to set yourself to run automatically every time you start up. I recommend using the task scheduler to achieve this function. 用于安装了windows系统的chromebook设备。 启用电池阈值功能，默认充电80%停止充电以保护电池。 你需要自行设定每次开机自动运行，我推荐使用任务计划程序来达到这个功能。 -
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Lingua-Go
The most accurate natural language detection library for Go
Lingua-Go is a Golang implementation of the Lingua language detection library, providing efficient and accurate language identification for Go-based applications. Its task is simple: It tells you which language some text is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages. ... -
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SNOBOL4, while known primarily as a string language excels at any task involving symbolic manipulations. It provides run time typing, garbage collection, user data types, on the fly compilation.
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LangChain Apps on Production with Jina
Langchain Apps on Production with Jina & FastAPI
Jina is an open-source framework for building scalable multi-modal AI apps on Production. LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development. And if you prefer, you can also deploy your LangChain apps on your own... -
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ChatGLM Efficient Tuning
Fine-tuning ChatGLM-6B with PEFT
...The project exposes practical switches for quantization and mixed precision, allowing bigger models to fit into limited VRAM. It includes examples for instruction tuning and dialogue datasets, making it straightforward to stand up a task-specific assistant. Because the code leans on widely used libraries, you can bring your own datasets and monitoring tools with minimal glue. For builders who want results fast, it’s a pragmatic way to specialize ChatGLM while controlling costs and turnaround time. -
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finetuner
Task-oriented finetuning for better embeddings on neural search
Fine-tuning is an effective way to improve performance on neural search tasks. However, setting up and performing fine-tuning can be very time-consuming and resource-intensive. Jina AI’s Finetuner makes fine-tuning easier and faster by streamlining the workflow and handling all the complexity and infrastructure in the cloud. With Finetuner, you can easily enhance the performance of pre-trained models, making them production-ready without extensive labeling or expensive hardware. Create... -
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OpenNMT-tf
Neural machine translation and sequence learning using TensorFlow
OpenNMT is an open-source ecosystem for neural machine translation and neural sequence learning. OpenNMT-tf is a general-purpose sequence learning toolkit using TensorFlow 2. While neural machine translation is the main target task, it has been designed to more generally support sequence-to-sequence mapping, sequence tagging, sequence classification, language modeling. Models are described with code to allow training custom architectures and overriding default behavior. For example, the following instance defines a sequence-to-sequence model with 2 concatenated input features, a self-attentional encoder, and an attentional RNN decoder sharing its input and output embeddings. ... -
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NFT art maker
Generates images and metadata files, packs them into IPFS CAR files
NFT Art Maker, generates images and metadata files, packs them into IPFS CAR files, and uploads them using nft.storage. All from provided PNG layers. The primary task of this tool is to generate a randomized set of images from provided PNG layers and pack them into .car files. Then you can upload them to IPFS using nft.storage or other tools. nft-art-maker tool doesn't assume any way of uploading to ipfs, but I would recommend nft.storage where you can upload whole .car file. They offer free pinning service and Filecoin storage. ... -
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Vixitask - Tasks Management
Tasks management app
Vixitask is simple and lightweight tasks management app. This app is created to boost your productivity by manage all your tasks on your phone. This app is Open Source, if you want to improve this app you can create pull request to Vixitask repository on github. -
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Promptify
se GPT or other prompt based models to get structured output
...The project provides tools that help developers generate structured prompts for different NLP tasks and apply them across multiple generative AI systems. Instead of manually crafting prompts for each task, Promptify introduces a unified architecture that combines prompt templates, language model interfaces, and processing pipelines into a single framework. This approach allows developers to perform tasks such as text classification, named entity recognition, question answering, and information extraction using consistent prompt templates. ... -
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ReAct Prompting
Synergizing Reasoning and Acting in Language Models
...This alternating sequence of reasoning, acting, and observing results allows the model to gather additional information and refine its decision-making process during task execution. The framework has been tested on several benchmarks including question answering, fact verification, and interactive decision-making tasks, demonstrating improved performance compared to methods that rely only on reasoning. -
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TaskMatrix
Enable sending and receiving images during chatting
...Originally introduced alongside the Visual ChatGPT concept, TaskMatrix acts as an orchestration framework where a central language model delegates subtasks to domain-specific AI systems such as image generators, segmentation tools, or recognition models. The architecture focuses on modularity, allowing new APIs and foundation models to be integrated as interchangeable task-solving components. The project also explores low-code human-AI interaction workflows that improve controllability and transparency during complex task execution. -
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Free-Auto-GPT
Free AutoGPT enables autonomous AI tasks without paid APIs
...It is suitable for developers, learners, and hobbyists who want to explore AI-driven automation without subscription requirements. It provides a lightweight implementation that highlights core AutoGPT concepts such as task decomposition, iteration, and independent execution in a simplified environment. -
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Gorilla CLI
LLMs for your CLI
Gorilla CLI powers your command-line interactions with a user-centric tool. Simply state your objective, and Gorilla CLI will generate potential commands for execution. Gorilla today supports ~1500 APIs, including Kubernetes, AWS, GCP, Azure, GitHub, Conda, Curl, Sed, and many more. No more recalling intricate CLI arguments. -
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Lightning Flash
Flash enables you to easily configure and run complex AI recipes
...In a nutshell, Flash is the production-grade research framework you always dreamed of but didn't have time to build. All data loading in Flash is performed via a from_* classmethod on a DataModule. Which DataModule to use and which from_* methods are available depends on the task you want to perform. For example, for image segmentation where your data is stored in folders, you would use the from_folders method of the SemanticSegmentationData class. Our tasks come loaded with pre-trained backbones and (where applicable) heads. You can view the available backbones to use with your task using available_backbones. ... -
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JavaCC Eclipse Plugin
Version 1.6.1
The JavaCC Eclipse Plugin provides a JavaCC & JTB editor and a builder which process .jj, .jjt & .jtb files and integrate with Eclipse's incremental build system. Compatible with Eclipse 4.6.0+ and Java 1.8+. Also embeds JTB 1.5.1. -
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Repo of Tree of Thoughts (ToT)
Implementation of "Tree of Thoughts
Language models are increasingly being deployed for general problem-solving across a wide range of tasks, but are still confined to token-level, left-to-right decision-making processes during inference. This means they can fall short in tasks that require exploration, strategic lookahead, or where initial decisions play a pivotal role. To surmount these challenges, we introduce a new framework for language model inference, Tree of Thoughts (ToT), which generalizes over the popular Chain of... -
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TF2DeepFloorplan
TF2 Deep FloorPlan Recognition using a Multi-task Network
TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab. This repo contains a basic procedure to train and deploy the DNN model suggested by the paper 'Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention'. It rewrites the original codes from zlzeng/DeepFloorplan into newer versions of Tensorflow and Python. -
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The Fish Cookbook
From Shell to Plate: Savor the Zest of Fish
...Instead of treating Fish as a niche or simple alternative shell, this cookbook showcases real solutions for common shell tasks such as prompt customization, tab completion, scripting patterns, task automation, environment configuration, and tooling workflows. Through clear examples and “copy-paste ready” solutions, users can learn idiomatic Fish scripting techniques that leverage Fish’s modern features like universal variables, autosuggestions, and colorized prompts. Because Fish’s syntax diverges from POSIX shells like bash/zsh, the cookbook helps close the gap by providing approachable, real-world snippets that teach both functionality and style. -
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ParlAI
A framework for training and evaluating AI models
ParlAI is a comprehensive research platform for building, training, and evaluating dialogue agents across a wide variety of tasks and datasets. It provides a unified interface—agents, teachers, and worlds—so the same model can be trained on multi-turn chit-chat, question answering, task-oriented dialogue, retrieval, or safety-focused datasets without changing core code. The library integrates tightly with PyTorch and supports both generative and retrieval-augmented models, along with utilities for multitask training and model selection. A large set of built-in tasks and dataset loaders (with consistent preprocessing and metrics) makes it easy to compare methods under shared conditions. ...
