Search Results for "docker"
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Showing 11 open source projects for "docker"
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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pytorch-cpp
C++ Implementation of PyTorch Tutorials for Everyone
...Requires installed python3 with PyTorch and torch-vision. You can choose to only build tutorials in one of the categories basics, intermediate, advanced or popular. You can build and run the tutorials (on CPU) in a Docker container using the provided Dockerfile and docker-compose.yml files. -
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KoboldCpp
Run GGUF models easily with a UI or API. One File. Zero Install.
KoboldCpp is an easy-to-use AI text-generation software for GGML and GGUF models, inspired by the original KoboldAI. It's a single self-contained distributable that builds off llama.cpp and adds many additional powerful features. -
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Basaran
Basaran, an open-source alternative to the OpenAI text completion API
...Multi-GPU support with optional 8-bit quantization. Real-time partial progress using server-sent events. Compatible with OpenAI API and client libraries. Comes with a fancy web-based playground. Docker images are available on Docker Hub and GitHub Packages. -
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ChatGPT UI
A ChatGPT web client that supports multiple users, and databases
A ChatGPT web client that supports multiple users, multiple database connections for persistent data storage, supports i18n. Provides Docker images and quick deployment scripts. Support gpt-4 model. You can select the model in the "Model Parameters" of the front-end. The GPT-4 model requires whitelist access from OpenAI. Added web search capability to generate more relevant and up-to-date answers from ChatGPT! This feature is off by default, you can turn it on in `Chat->Settings` in the admin panel, there is a record `open_web_search` in Settings, set its value to True. ... -
Outgrown Windows Task Scheduler?Windows Task Scheduler wasn't built for complex, cross-platform automation. Get a free diagnostic that shows exactly where things are failing and provides remediation recommendations. Interactive HTML report delivered in minutes.
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Node ChatGPT API
A client implementation for ChatGPT and Bing AI
A client implementation for ChatGPT and Bing AI. Available as a Node.js module, REST API server, and CLI app. Support for the official ChatGPT model has been added! You can now use the gpt-3.5-turbo model with the official OpenAI API, using ChatGPTClient. This is the same model that ChatGPT uses, and it's the most powerful model available right now. Usage of this model is not free, however it is 10x cheaper than text-davinci-003. The default model used in ChatGPTClient is now gpt-3.5-turbo.... -
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wechat-chatgpt
Use ChatGPT On Wechat via wechaty
Use ChatGPT On Wechat via wechaty Interact with WeChat and ChatGPT: Use ChatGPT on WeChat with wechaty and Official API Add conversation support Support command setting Deployment and configuration options: Add Dockerfile, deployable with docker Support deployment using docker compose Support Railway and Fly.io deployment Other features: Support Dall·E Support whisper Support setting prompt Support proxy (in development) -
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Dalai
The simplest way to run LLaMA on your local machine
Run LLaMA and Alpaca on your computer. Dalai runs on all of the following operating systems, Linux, Mac, and Windows. Runs on most modern computers. Unless your computer is very very old, it should work. -
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cerche
Experimental search engine for conversational AI such as parl.ai
This is an experimental search engine for conversational AI such as parl.ai, large language models such as OpenAI GPT3, and humans (maybe). -
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Dynacover
Dynamic Twitter images and banners
...As a GitHub action: the easiest way to run Dynacover is by setting it up in a public repository with GitHub Actions, using repository secrets for credentials. Follow this step-by-step guide to set this up - no coding is required. With Docker: you can use the public erikaheidi/dynacover Docker image to run Dynacover with a single command, no PHP is required. To further customize your cover, you can clone the dynacover repo to customize banner resources (JSON template and header images, both located at app/Resources), then build a local copy of the Dynacover Docker image to use your custom changes. -
Fully managed relational database service for MySQL, PostgreSQL, and SQL ServerCloud SQL manages your databases so you don't have to, so your business can run without disruption. It automates all your backups, replication, patches, encryption, and storage capacity increases to give your applications the reliability, scalability, and security they need.
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10
Image Super-Resolution (ISR)
Super-scale your images and run experiments with Residual Dense
...This project contains Keras implementations of different Residual Dense Networks for Single Image Super-Resolution (ISR) as well as scripts to train these networks using content and adversarial loss components. Docker scripts and Google Colab notebooks are available to carry training and prediction. Also, we provide scripts to facilitate training on the cloud with AWS and Nvidia-docker with only a few commands. When training your own model, start with only PSNR loss (50+ epochs, depending on the dataset) and only then introduce GANS and feature loss. ... -
11
Market Reporter
Automatic Generation of Brief Summaries of Time-Series Data
...This tool stores data to Amazon S3. Ask the manager to give you AmazonS3FullAccess and issue a credential file. For details, please read AWS Identity and Access Management. Install Docker and Docker Compose. Edit envs/docker-compose.yaml according to your environment. Then, launch containers by docker-compose. We recommend to use pipenv to make a Python environment for this project. Suppose you have a database named master on your local machine. Prediction submodule generates a single comment of a financial instrument at specified time by loading a trained model.
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