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id-card-detector

:credit_card: Detecting the National Identification Cards with Deep Learning (Faster R-CNN)

ida_lib

Image augmentation library

idml

Official implementation of Introspective Deep Metric Learning.

ignite

High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

ik-nlp-project-4

Modern Neural Networks Meet Linguistic Theory

ik-nlp-tutorials

Lab tutorials for the MSc NLP course at the University of Groningen

ikigai

IkigAI is an opensource library dedicated for debiasing algorithms and feature selection based on interpretability for Fair, efficient model development and monitoring.

im2recipe

Code supporting the CVPR 2017 paper "Learning Cross-modal Embeddings for Cooking Recipes and Food Images"

image-captioning

Implemented 3 different architectures to tackle the Image Caption problem, i.e, Merged Encoder-Decoder - Bahdanau Attention - Transformers

image-formation-and-camera-calibration

A comprehensive tutorial series on Image Formation and Camera Calibration in Python with example

image-super-resolution-via-iterative-refinement

Unoffical implementation about Image Super-Resolution via Iterative Refinement by Pytorch

image_class

基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

imagedenoisinggan

Image Denoising with Generative Adversarial Network

imagen-notebook

imagen-pytorch

imagenet21k

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

imageretrieval

This repository will contain the jupyter notebooks for the report on Image Retieval.

imagesearch

CS 679 Project Repository: Learning Efficient Autoencoders for Image Search

imageseeker--an-image-classification-library-with-ui

imaginaire

NVIDIA's Deep Imagination Team's PyTorch Library

imaginairy

AI imagined images. Pythonic generation of stable diffusion images.

imap_tools

Work with email by IMAP

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imbalanced-dl

A Python Package for Deep Imbalanced Learning

imbalanced-regression

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

img2vec

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

imodelsx

Library to explain *a dataset* using natural language and neural networks.

implicit-language-q-learning

Official code from the paper "Offline RL for Natural Language Generation with Implicit Language Q Learning"