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Name: Arnauld Adjovi
Type: User
Bio: Data scientist (NLP)
Location: France
Name: Arnauld Adjovi
Type: User
Bio: Data scientist (NLP)
Location: France
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
Web Interface for Question Answering System
An implementation of a deep learning recommendation model (DLRM)
DO180 Repository for Sample Applications
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
A library for debugging/inspecting machine learning classifiers and explaining their predictions
A library for efficient similarity search and clustering of dense vectors.
Some useful tips for faiss
Notification Prototype
Super easy library for BERT based NLP models
FastAPI framework, high performance, easy to learn, fast to code, ready for production
An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf
Full stack, modern web application generator. Using FastAPI, PostgreSQL as database, Docker, automatic HTTPS and more.
An implementation of model parallel GPT2& GPT3-like models, with the ability to scale up to full GPT3 sizes (and possibly more!), using the mesh-tensorflow library.
:mag: Transformers at scale for question answering & search
Hello everyone. I'm data scientist passionate with NLP
ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
An easier way to build neural search on the cloud
An open-registry for hosting Jina executors via container images
🧬 A JupyterLab extension for annotating data with Prodigy
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Deep Learning for humans
Kubernetes Operations (kops) - Production Grade K8s Installation, Upgrades, and Management
Production-Grade Container Scheduling and Management
Label Studio is a multi-type data labeling and annotation tool with standardized output format
This is the curriculum for "Learn Natural Language Processing" by Siraj Raval on Youtube
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
[ICLR 2020] Lite Transformer with Long-Short Range Attention
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.