248 Open source projects that are alternatives of or similar to Torchsample

Sequence-to-sequence models for AMR parsing and generation

Deep Learning Toolbox for Torch

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP

A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).

Setup and customize deep learning environment in seconds.

TensorFlow implementation of DmitryUlyanov/texture_nets

[CVPR 2019] "Handwriting Recognition in Low-resource Scripts using Adversarial Learning ”, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.

Laia: A deep learning toolkit for HTR based on Torch

Data Augmentation For Object Detection

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)

Add colors to black and white images with neural networks (GANs).

Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

PyTorch tutorial for learners

Differentiable Data Augmentation Library

All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras

NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation

Understanding facial beauty with deep learning.

Paperspace API for python

A simpler way of reading and augmenting image segmentation data into TensorFlow

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

Synthetic Occlusion Augmentation

Neural conversational model in Torch

The code includes all the file that you need in the training stage for FCN

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

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

A data generator for 2D object detection

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Connecting Torch to StarCraft

code for unsupervised learning Neural Hidden Markov Models paper

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

DIAR software for synthetic document image and groundtruth generation, with various degradation models for data augmentation

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

torch data augmentation toolbox (supports affine transform)

DeepNude Command Line Version With Watermark Removed

C++ Implementation of PyTorch Tutorials for Everyone

Pytorch implementation of the DeepDream computer vision algorithm

自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用

Torch implementation for audio neural style.

Bu repoda veri artırma (data augmentation) ile ilgili pratik uygulamalara ulaşabilirsiniz.

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Data augmentation for NLP, presented at EMNLP 2019

Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

Torch Containers simplified in PyTorch

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Medical image preprocessing and augmentation toolkit for deep learning

torch implementation of srgan

yolo(all versions) implementation in keras and tensorflow 2.4

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

Variational Autoencoder trained by Feature Perceputal Loss

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

Data augmentation using synthetic data for time series classification with deep residual networks

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond