EtienneDavid

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Wheat-leaf-tip-detection

BaMApp-Base-Model-for-Agricultural-Applications

Code to create a Foundation Model for the AgTech space.

pandas-ai

Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

Counting-DETR

Few-shot Object Counting and Detection (ECCV 2022)

VegAnn

Repository of the VegAnn Dataset

SegVeg

:fallen_leaf: Python module for Senescent Vegetation Image Segmentation based on XGBoost.

NeuRay

[CVPR2022] Neural Rays for Occlusion-aware Image-based Rendering

remote-sensing-deep-learning

scikit-dimension

A Python package for intrinsic dimension estimation

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

streamlit-cropper

A simple image cropper for Streamlit

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

PhenoCV-WeedCam

Deformable-DETR

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

autocount

Unsupervised plant organ counting.

patchify.py

A library that helps you split image into small, overlappable patches, and merge patches into original image.

UDA4POC

Unsupervised Domain Adaptation For Plant Organ Counting

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

DetectoRS

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

Crop2ML

Repository for options to describe a model unit in a declarative way. Imperative representation will be specific for each modelling framework.

sfc2net

(PP'20) High-Throughput Rice Density Estimation from Transplantation to Tillering Stages Using Deep Networks

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

basic-camera-calibration

This is basic camera calibration using a chessboard, OpenCV 4.0, C++.

pytorch_active_learning

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

WeightWatcher

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

imantics

:camera: Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

AIDA

Annotation of Image Data by Assignment.