Search Results for "amp"

Get Google search results, but without any ads, javascript, AMP links, cookies, or IP address tracking. Easily deployable in one click as a Docker app, and customizable with a single config file. Quick and simple to implement as a primary search engine replacement on both desktop and mobile. Autocomplete/search suggestions. POST request search and suggestion queries (when possible). View images at full res without site redirect (currently mobile only).

...The general recommendation is to use suitable augs for your data and as many as possible, then after some time of training disable the most destructive (for image) augs. You can turn on automatic mixed precision with one flag --amp. You should expect it to be 33% faster and save up to 40% memory. Aim is an open-source experiment tracker that logs your training runs, and enables a beautiful UI to compare them.

...With FARM you can build fast proofs-of-concept for tasks like text classification, NER or question answering and transfer them easily into production. Easy fine-tuning of language models to your task and domain language. AMP optimizers (~35% faster) and parallel preprocessing (16 CPU cores => ~16x faster). Modular design of language models and prediction heads. Switch between heads or combine them for multitask learning. Full Compatibility with HuggingFace Transformers' models and model hub. Smooth upgrading to newer language models. Integration of custom datasets via Processor class. ...

RedMQ is a Redis-based messaging system that is specifically designed to support flexible messaging schemes, exposing an API that allows messages to be filtered by a number of message attributes. At its core is a Python TCP server built on Asynchronous Messaging Protocol and Twisted's AMP module. This means RedMQ can support clients in any language, though only two clients - PHP and Python - have been implemented to date. The API is designed with flexibility in mind, providing native support for conditional messaging and custom message routing as well as standard point-to-point and publish-subscribe messaging models.

XAMPLE creates a separate, encrypted and independent LAMP environment on a system that does or does not already run a web server and database. It is useful to provide a customized environment for software refusing to work with the installed LAMP stack.

A program which will be a fully automatic character sheet and help manage inventory, skills, and leveling in Dungeons and Dragons 3.5.

The goal of this project is to provide an array of tools for use with the OpenSource Server Emulator (L2J). The priority of this project is to provide Global server statistics as well as Realtime Administration tools in the future.

Simulation of old Italian games briscola and tresette.

...With a context window of 8,192 tokens, it excels at code completion, fill-in-the-middle tasks, and intelligent code suggestions for professional developer tools and IDEs. The model is efficient for both cloud inference with vLLM and local deployment using llama.cpp or Ollama, thanks to its bf16 precision and AMP training. While the base model is not fine-tuned for downstream tasks, it is designed to be easily adapted through supervised fine-tuning (SFT) or reinforcement learning (RL). Benchmarks on RepoBench, SAFIM, and HumanEval demonstrate its competitive performance, with specialized fine-tuned versions for Python already showing strong improvements.