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Thiya's Projects

image_class icon 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

imaginaire icon imaginaire

NVIDIA's Deep Imagination Team's PyTorch Library

imaginairy icon imaginairy

AI imagined images. Pythonic generation of stable diffusion images.

imbalanced-dataset-sampler icon imbalanced-dataset-sampler

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

img2dataset icon 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 icon img2vec

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

imodels icon imodels

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

imodelsx icon imodelsx

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

ims-toucan icon ims-toucan

IMS-Toucan is a toolkit to train state-of-the-art Speech Synthesis models. Everything is pure Python and PyTorch based to keep it as simple and beginner-friendly, yet powerful as possible.

inception icon inception

INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.

income icon income

INCOME: An Easy Repository for Training and Evaluation of Index Compression Methods in Dense Retrieval. Includes BPR and JPQ.

indicwav2vec icon indicwav2vec

Pretraining, fine-tuning and evaluation scripts for Indic-Wav2Vec2

infinibatch icon infinibatch

Efficient, check-pointed data loading for deep learning with massive data sets.

information_retrieval icon information_retrieval

Given a document, identifying the closest documents within the list of documents using tf-idf matrix and cosine similarity

inltk icon inltk

Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

interpret icon interpret

The PyTorch implementation the Smooth Grad [https://arxiv.org/pdf/1706.03825.pdf] and Integrated Gradients [https://arxiv.org/pdf/1703.01365.pdf] for NLP Models.

interpret-1 icon interpret-1

Fit interpretable models. Explain blackbox machine learning.

interpret-lm icon interpret-lm

Interpreting Language Models with Contrastive Explanations

interpret-text icon interpret-text

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

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