111 Open source projects that are alternatives of or similar to Nlpcda

Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmentation, evaluation in noisy conditions, etc.

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)

Reading data into tensorflow using tf.data function

3D augmentation and transforms of 2D/3D sparse data, such as 3D triangle meshes or point clouds in Euclidean space. Extension of the Fast.ai library to train Sub-manifold Sparse Convolution Networks

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ResNet for Cifar10

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Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.

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Library for data augmentation

DrQ: Data regularized Q

Tensorflow implementation of the Manifold Mixup machine learning research paper

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our code for paper 'PointCutMix: Regularization Strategy for Point Cloud Classification'

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Tensor2tensor experiment with SpecAugment

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An implementation of "mixup: Beyond Empirical Risk Minimization"

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

A curated list of papers, code and resources pertaining to few-shot image generation.

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

Multiclass image classification using Convolutional Neural Network

Augmentation package for 3d data based on albumentaitons

Implemenation of UNets for Lung Segmentation

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

AAAI'21: Data Augmentation for Graph Neural Networks

No description or website provided.

KitanaQA: Adversarial training and data augmentation for neural question-answering models

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

speechpro.com/

SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)

This repository contains code to replicate results from the ICASSP 2020 paper "StarGAN for Emotional Speech Conversion: Validated by Data Augmentation of End-to-End Emotion Recognition".

Image rotation and cropping out the black borders in TensorFlow

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

[Medical Image Analysis] Adversarial Data Augmentation with Chained Transformations (AdvChain)

Data augmentation tool for images

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

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中文NER的那些事儿

An efficient and flexible sampler of the Pólya-Gamma distribution with a NumPy/SciPy compatible interface.

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Deep Convolutional Neural Networks for Musical Source Separation

Implementation of the mixup training method

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Repository for the experiments described in the paper named "DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus"

A time series signal analysis and classification framework