franchesoni's starred repositories
schedule_free
Schedule-Free Optimization in PyTorch
clickseg_inference
code to run inference using ClickSEG by calling `python -m app.ClickSEG.clean_inference_test`. This is used in my annotation webapp
binaryannotation
:fire: Awesome tool to annotate images in two classes, powered by AI :robot:
minimalist-annotation
:fire: :fire: :fire: Simple, open, pure HTML image annotation tool for bounding boxes and points (detection / segmentation). Try it now! :fire: :fire: :fire:
cheap_segmentation_benchmark
A new benchmark for image segmentation comprising 1. *Out-of-domain evaluations*, 2. *Practical cases*, 3. *Small datasets*
texture_segmentation_dataset
Texture segmentation dataset to evaluate segmentation algorithms
probabilistic_predictions
exploring probabilistic losses for deep learning
computer_vision_datasets
Utilities to easily download and use computer vision datasets
Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
jean-zay-doc
Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation: http://www.idris.fr/eng/jean-zay/
ARMAXrls-solar-irradiance-forecasting
We implement an ARMAX algorithm in a Recursive Least Squares fashion to forecast solar irradiance
nasa_space_apps_lrmc
Low Rank Matrix Completion by Proximal Gradient
general_recursive_least_squares
Here lies the deduction and implementation of a general Recursive Least Squares filter for arbitrary signals