Eric Bezzam (ebezzam)

ebezzam

Geek Repo

Location:Lausanne, Switzerland

Home Page:https://ebezzam.github.io/

Twitter:@ericbezzam

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Organizations
LCAV

Eric Bezzam's repositories

python-dev-tips

Minimal package to demonstrate good Python development habits

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DoctorBot

Chatbot for medical diagnosis (HackZurich 2016)

room-simulation

Supporting code for the paper "A study on more realistic room simulation for far-field keyword spotting".

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LenslessClassification

Functions and scripts for lensless classification.

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pyFFS

Fast Fourier Series library.

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slm-controller

Python interface for programmable masks / spatial light modulators

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bezzamlmc.github.io

My personal gh pages

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chromatix

Differentiable wave optics using JAX! Documentation can be found at https://chromatix.readthedocs.io

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deepinv

PyTorch library for solving imaging inverse problems using deep learning

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ebezzam.github.io

Personal site

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jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

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lauzhack-docker-workshop

Materials for the LauzHack Days workshop "Intro to Docker"

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LauzHack.github.io

Website for LauzHack, EPFL's largest hackathon.

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LenslessLearning

Code for Lensless Learning Paper

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LenslessPiCamEric

Lensless imaging with a Raspberry Pi and a piece of tape. Complete tutorial: https://go.epfl.ch/lenslesspicam

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lyrics-mir

Music information retrieval with lyrics

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mlh-localhost-github

This repo contains the source code for the MLH Localhost workshop, How to Collaborate on Code Projects with GitHub.

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pi-camera-stream-flask

Create your own live camera stream using a Raspberry Pi 4

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pycsou

Pycsou is a Python 3 package for solving linear inverse problems with state-of-the-art proximal algorithms. The software implements in a highly modular way the main building blocks -cost functionals, penalty terms and linear operators- of generic penalised convex optimisation problems.

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red-box

Next generation email box manager

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snips-workshop-macos

Snips workshop with the end goal of deployment on macOS

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transformers

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

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