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Hi there 👋 I'm Fred!

I'm an applied research scientist working primarily on Bayesian active learning, uncertainty estimation, and explainability. I want to make AI works for everyone and I believe that it starts with better practices around dataset creation and model inference.

I'm slowly learning frontend development with React 🚀 and I have strong skills as a backend developer (FastAPI, Dask, HuggingFace, Pytorch).

Opensource

I'm a strong believer in opensource, I was chairman at Keras before co-founding Baal, an active learning library. Recently, I worked on opensourcing Azimuth, an error analysis tool for text classification.

I'm looking for new projects to contribute to, please contact me if you need some help! I am learning more about the HuggingFace 🤗 and Pytorch Lightning ecosystems which I find fantastic!

Ask me about anything related to (fair) deep learning and open-source!

My socials:

Frédéric Branchaud-Charron's Projects

arc-pytorch icon arc-pytorch

PyTorch implementation of Attentive Recurrent Comparators

azimuth icon azimuth

Helping AI practitioners better understand their datasets and models in text classification. From ServiceNow.

coco icon coco

MS COCO API - http://mscoco.org/

darkflow icon darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

datasets icon datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

east icon east

A tensorflow implementation of EAST text detector

fairlearn icon fairlearn

A Python package to assess and improve fairness of machine learning models.

image_dispatcher icon image_dispatcher

The goal of this repo is to make a complete image data augmentation pipeline.

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

lightning-flash icon lightning-flash

Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains

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