GuillaumeMougeot

InsectFoundationModel

Insect Foundation AI Model and Dataset for Precision Agriculture

unmaintainable-code

A more maintainable, easier to share version of the infamous http://mindprod.com/jgloss/unmain.html

Grounded-SAM-2

Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2

cunumeric

An Aspiring Drop-In Replacement for NumPy at Scale

BioEncoder

anylabeling

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

mlflow

Open source platform for the machine learning lifecycle

pyremotedata

This repository contains the python module "pyRemoteData" which handles high-bandwidth data transfer with LFTP.

SimpleClick

SimpleClick: Interactive Image Segmentation with Simple Vision Transformers (ICCV 2023)

gbif-dl

GBIF classification dataloaders

transformers

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

aldi

Official implementation of "Align and Distill: Unifying and Improving Domain Adaptive Object Detection"

BIOSCAN-1M

A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

TRUEFAD

TRUE Fiber Atrophy Distinction

cupy

NumPy & SciPy for GPU

dexp

Dataset EXploration & Processing

napari-biom3d

pyxu

Modular and scalable computational imaging in Python with GPU/out-of-core computing.

biom3d

Easy Volumetric Segmentation with Deep Learning

micro-sam

Segment Anything for Microscopy

TEST

patchly

A grid sampler for larger-than-memory N-dimensional images

unetr_plus_plus

[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation

napari-sam

taichi

Productive, portable, and performant GPU programming in Python.

CLIP-Driven-Universal-Model

[ICCV 2023] CLIP-Driven Universal Model; Rank first in MSD Competition.

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

stable-diffusion

A latent text-to-image diffusion model

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

unetgan

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)