Search Results for "transformers"
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Showing 31 open source projects for "transformers"
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Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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spacy-transformers
Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
...These techniques can be used to import knowledge from raw text into your pipeline, so that your models are able to generalize better from your annotated examples. You can convert word vectors from popular tools like FastText and Gensim, or you can load in any pre trained transformer model if you install spacy-transformers. You can also do your own language model pretraining via the spacy pre train command. You can even share your transformer or another contextual embedding model across multiple components, which can make long pipelines several times more efficient. To use transfer learning, you’ll need at least a few annotated examples for what you’re trying to predict. -
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SageMaker Hugging Face Inference Toolkit
Library for serving Transformers models on Amazon SageMaker
SageMaker Hugging Face Inference Toolkit is an open-source library for serving Transformers models on Amazon SageMaker. This library provides default pre-processing, predict and postprocessing for certain Transformers models and tasks. It utilizes the SageMaker Inference Toolkit for starting up the model server, which is responsible for handling inference requests. For the Dockerfiles used for building SageMaker Hugging Face Containers, see AWS Deep Learning Containers. ... -
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PydanticAI
Agent Framework / shim to use Pydantic with LLMs
...PydanticAI is a Python Agent Framework designed to make it less painful to build production-grade applications with Generative AI. Built by the team behind Pydantic (the validation layer of the OpenAI SDK, the Anthropic SDK, LangChain, LlamaIndex, AutoGPT, Transformers, CrewAI, Instructor, and many more). -
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Scalaz
Principled Functional Programming in Scala
Scalaz is a foundational functional-programming library for Scala that provides type classes, data types, and syntax to write pure, composable code. It implements classic abstractions such as Functor, Applicative, Monad, Monoid, Foldable, and Traverse, along with powerful transformers (ReaderT, StateT, WriterT, OptionT, and more) to structure effects. The library offers rich data structures—\/ (disjunction), Validation, NonEmptyList, IList, and Free—that help model errors, invariants, and interpretable programs. Its type class–oriented design lets you write generic algorithms over capabilities rather than concrete types, improving reuse and testability. ... -
The Most Powerful Software Platform for EHSQ and ESG ManagementChoose from a complete set of software solutions across EHSQ that address all aspects of top performing Environmental, Health and Safety, and Quality management programs.
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Flower
Flower: A Friendly Federated Learning Framework
...Different machine learning frameworks have different strengths. Flower can be used with any machine learning framework, for example, PyTorch, TensorFlow, Hugging Face Transformers, PyTorch Lightning, scikit-learn, JAX, TFLite, MONAI, fastai, MLX, XGBoost, Pandas for federated analytics, or even raw NumPy for users who enjoy computing gradients by hand. -
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Babel
The compiler for writing next generation JavaScript
Babel is a toolchain that helps you write code in the latest version of JavaScript. It converts ECMAScript 2015+ code into a backwards compatible version of JavaScript that can be run by older JavaScript engines. With Babel you can transform syntax, polyfill features that are missing in your target environment, transform source code and more! -
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Backtrack Sampler
An easy-to-understand framework for LLM samplers
Backtrack Sampler is a framework designed for experimenting with custom sampling strategies for language models (LLMs), enabling the ability to rewind and revise generated tokens. It allows developers to create and test their own token generation strategies by providing a base structure for manipulating logits and probabilities, making it a flexible tool for those interested in fine-tuning the behavior of LLMs. -
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Vitest
Next generation testing framework powered by Vite
Next-generation testing framework powered by Vite. Reuse Vite's config and plugins - consistent across your app and tests. But Vitest is not required. Expect, snapshot, coverage, and more - migrating from Jest is straightforward. Out-of-box ESM, TypeScript and JSX support powered by esbuild. -
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SentenceTransformers
Multilingual sentence & image embeddings with BERT
...These embeddings can then be compared e.g. with cosine-similarity to find sentences with a similar meaning. This can be useful for semantic textual similar, semantic search, or paraphrase mining. The framework is based on PyTorch and Transformers and offers a large collection of pre-trained models tuned for various tasks. Further, it is easy to fine-tune your own models. Our models are evaluated extensively and achieve state-of-the-art performance on various tasks. Further, the code is tuned to provide the highest possible speed. -
Field Service+ for MS Dynamics 365 & SalesforceResco’s mobile solution streamlines your field service operations with offline work, fast data sync, and powerful tools for frontline workers, all natively integrated into Dynamics 365 and Salesforce.
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Laravel Fractal
An easy to use Fractal wrapper built for Laravel and Lumen
...Imagine you want to add some stats to the metadata of your request, you can do so without cluttering your code. You can run the make:transformer command to quickly generate a dummy transformer. By default it will be stored in the app\Transformers directory. -
11
DeepSeed
Deep learning optimization library making distributed training easy
...With just a single GPU, ZeRO-Offload of DeepSpeed can train models with over 10B parameters, 10x bigger than the state of arts, democratizing multi-billion-parameter model training such that many deep learning scientists can explore bigger and better models. Sparse attention of DeepSpeed powers an order-of-magnitude longer input sequence and obtains up to 6x faster execution comparing with dense transformers. -
12
httpexpect
End-to-end HTTP and REST API testing for Go
...URL query parameters (encoding using go-querystring package). Headers, cookies, payload: JSON, urlencoded or multipart forms (encoding using form package), plain text. Custom reusable request builders and request transformers. Type-specific assertions, supported types: object, array, string, number, boolean, null, datetime. Regular expressions. Simple JSON queries (using subset of JSONPath), provided by jsonpath package. JSON Schema validation, provided by gojsonschema package. -
13
Mergo
Mergo: merging Go structs and maps since 2013
...Also a lovely comune (municipality) in the Province of Ancona in the Italian region of Marche. Keep in mind that in 0.3.2, Mergo changed Merge()and Map() signatures to support transformers. I added an optional/variadic argument so that it won't break the existing code. You can only merge same-type structs with exported fields initialized as zero value of their type and same-types maps. Mergo won't merge unexported (private) fields but will do recursively any exported one. It won't merge empty structs value as they are zero values too. -
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RxDart
The Reactive Extensions for Dart
...The library aims to stay idiomatic with Dart Streams while giving developers the ergonomic power long associated with the ReactiveX family. In practice, it encourages clear separation between data producers, transformers, and consumers. -
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Seldon Core
An MLOps framework to package, deploy, monitor and manage models
...Built on Kubernetes, runs on any cloud and on-premises. Framework agnostic, supports top ML libraries, toolkits and languages. Advanced deployments with experiments, ensembles and transformers. Our open-source framework makes it easier and faster to deploy your machine learning models and experiments at scale on Kubernetes. The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes. -
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Apiato
PHP Framework for building scalable API's on top of Laravel
The open-source flawless framework for building scalable and testable API-Centric Apps with PHP and Laravel. Authentication with OAuth2.0 for first/third-party clients (using Laravel Passport). Role-Based Access Control (RBAC), seeded with a Super Admin, Roles, and Permissions. Query Parameters support (orderBy, sorted, and filter) with full-text search. Useful Endpoints for managing users, roles/permissions, tokens, and more. API Documentations generator, to generate API docs from PHP... -
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txtai
Build AI-powered semantic search applications
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Traditional search systems use keywords to find data. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. Backed by state-of-the-art machine learning models, data is transformed into vector representations for search (also known as embeddings). Innovation is happening at a rapid... -
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Transformers4Rec
Transformers4Rec is a flexible and efficient library
...The library works as a bridge between natural language processing (NLP) and recommender systems (RecSys) by integrating with one of the most popular NLP frameworks, Hugging Face Transformers (HF). Transformers4Rec makes state-of-the-art transformer architectures available for RecSys researchers and industry practitioners. Traditional recommendation algorithms usually ignore the temporal dynamics and the sequence of interactions when trying to model user behavior. Generally, the next user interaction is related to the sequence of the user's previous choices. ... -
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DocWire SDK
Award-winning modern data processing SDK in C++20
DocWire SDK, a standout C++20AI driven data processing tool, has received award from SourceForge and strong backing from Microsoft. It handles nearly 100 file types, empowering efficient text extraction, web data extraction, and document analysis. For businesses, the shift to DocWire SDK signifies a leap forward. It promises comprehensive document format support and the ability to extract valuable insights from email boxes, databases, and websites using cutting-edge AI. DocWire SDK aims to... -
20
Primus
An abstraction layer for real-time to prevent module lock-in
Primus, the creator god of transformers but now also known as universal wrapper for real-time frameworks. There are a lot of real-time frameworks available for Node.js and they all have different opinions on how real-time should be done. Primus provides a common low level interface to communicate in real-time using various real-time frameworks. Effortless switching between real-time frameworks by changing one single line of code. -
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Work Case Toolkit 0.4 beta 1
Support variant based Java program execution, adapted to support MDE.
...The project was originally planned in 2005 to support Model Driven Architecture OMG approach, focusing specially on the management of architectural changes and models transformers. The main goal of the program is to design transformation chains based on features diagram variants. The model transformers orchestration is obtained by using Features Diagrams and Transformation Diagrams (a feature that must be re-implemented to support of a Java drawing API). Any help is welcome. Given that we have some good results in running dynamic transformation chains, we decided to extend the tool to support another goal: a Java API to support variant based program's execution. ... -
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Replibyte
Seed your development database with real data
...Start a local database with the prod data in a single command. On-the-fly data (de)compression (Zlib). On-the-fly data de/encryption (AES-256). Fully stateless (no server, no daemon) and lightweight binary. Use custom transformers. Auto-detect and version database schema change. Auto-detect sensitive fields. Auto-clean backed up data. At Qovery (the company behind Replibyte), developers can clone their applications and databases just with one click. However, the cloning process can be tedious and time-consuming, and we end up copying the information multiple times. -
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BEVFormer
Implementation of BEVFormer, a camera-only framework
3D visual perception tasks, including 3D detection and map segmentation based on multi-camera images, are essential for autonomous driving systems. In this work, we present a new framework termed BEVFormer, which learns unified BEV representations with spatiotemporal transformers to support multiple autonomous driving perception tasks. In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries. To aggregate spatial information, we design spatial cross-attention that each BEV query extracts the spatial features from the regions of interest across camera views. ... -
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OpenPrompt
An Open-Source Framework for Prompt-Learning
...OpenPrompt is a library built upon PyTorch and provides a standard, flexible and extensible framework to deploy the prompt-learning pipeline. OpenPrompt supports loading PLMs directly from huggingface transformers. In the future, we will also support PLMs implemented by other libraries. The template is one of the most important modules in prompt learning, which wraps the original input with textual or soft-encoding sequence. Use the implementations of current prompt-learning approaches.* We have implemented various of prompting methods, including templating, verbalizing and optimization strategies under a unified standard. ... -
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Dingo API
A RESTful API package for the Laravel and Lumen frameworks
The Dingo API package is meant to provide you, the developer, with a set of tools to help you easily and quickly build your own API. While the goal of this package is to remain as flexible as possible it still won't cover all situations and solve all problems. It is very important to understand which version of Dingo to use, and even more so to understand what is supported and what is not. If the version of dingo you are using is not supported, then please update it, and if necessary your...
