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Arnauld Adjovi's Projects

perplexica icon perplexica

Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

pet icon pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

piaf icon piaf

Plateforme d'annotation du projet Piaf - pour une IA francophone

pika icon pika

Pure Python RabbitMQ/AMQP 0-9-1 client library

plmpapers icon plmpapers

Must-read Papers on pre-trained language models.

projects icon projects

πŸ’ Example projects for various NLP tasks with datasets, scripts and results

rasa icon rasa

πŸ’¬ Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

rubrix icon rubrix

✨A Python framework to explore, label, and monitor data for NLP projects

sgc icon sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

sgpt icon sgpt

SGPT: GPT Sentence Embeddings for Semantic Search

snips-nlu icon snips-nlu

Snips Python library to extract meaning from text

superknowa icon superknowa

This repo contains pluggable components to build Enterprise RAG (Retriver Augmented Generation) Pipelines to tackle various Generative AI use cases using Large Language Models (LLMs). It is intended for IBM Ecosystem partners.

talos icon talos

Hyperparameter Optimization for Keras Models

tika-python icon tika-python

Tika-Python is a Python binding to the Apache Tikaβ„’ REST services allowing Tika to be called natively in the Python community.

tokenizers icon tokenizers

πŸ’₯Fast State-of-the-Art Tokenizers optimized for Research and Production

top2vec icon top2vec

Top2Vec learns jointly embedded topic, document and word vectors.

torchlayers icon torchlayers

Shape inference for PyTorch (like in Keras) + new SoTA layers!

transformers icon transformers

πŸ€— Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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