ahotrod

ahotrod

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teams-toolkit-samples

Scenario-focused sample applications that help you get started with building Microsoft Teams App.

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teams-ai

SDK focused on building AI based applications and extensions for Microsoft Teams and other Bot Framework channels

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OpenBB

Investment Research for Everyone, Everywhere.

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SIMPAC-2022-113

This repository is created as part of our collaborative research on development of an integrated LSTM framework for solving sequential data modeling problems.

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examples

Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.

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content-localization-on-aws

Automatically generate multi-language subtitles using AWS AI/ML services. Machine generated subtitles can be edited to improve accuracy and downstream tracks will automatically be regenerated based on the edits. Built on Media Insights Engine (https://github.com/awslabs/aws-media-insights-engine)

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transcribe-lambda-example

CDK stack example with S3 triggers, lambda and Transcribe

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ta-lib-python

Python wrapper for TA-Lib (http://ta-lib.org/).

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aws-cdk-project-structure-python

Recommended AWS CDK project structure for Python applications

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apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

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longformer

Longformer: The Long-Document Transformer

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haystack

:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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huggingface_albert

hugginface albert model and its tokenizer

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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fast-bert

Super easy library for BERT based NLP models

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xlnet_extension_tf

XLNet Extension in TensorFlow

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FARM

:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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GEM

Python implementation of Antonacci's GEM ("Global Equities Momentum") strategy

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