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A system for quickly generating training data with weak supervision
python data-science machine-learning ai weak-supervision snorkel labeling data-augmentation training-data data-slicing
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
python machine-learning deep-learning neural-network mxnet gpu image-processing pytorch gpu-tensorflow data-processing data-augmentation audio-processing paddle image-augmentation fast-data-pipeline
🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
machine-learning computer-vision deep-learning pytorch artificial-intelligence feature-extraction supervised-learning face-recognition face-detection tencent transfer-learning nus convolutional-neural-network data-augmentation face-alignment imbalanced-learning model-training fine-tuning face-landmark-detection hard-negative-mining
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
nlp security machine-learning natural-language-processing data-augmentation adversarial-machine-learning adversarial-examples adversarial-attacks
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
Medical imaging processing for AI applications.
python machine-learning deep-learning pytorch medical-image-computing data-augmentation augmentation medical-image-processing medical-image-analysis
🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.
mcp nvidia data-generation nemo sdg data-augmentation synthetic-data multimodal tool-use llm agentic-ai
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
audio python music machine-learning deep-learning dsp sound sound-processing data-augmentation augmentation audio-effects audio-data-augmentation
fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.
visualization python machine-learning image deep-learning image-processing dataset image-classification outlier-detection object-detection image-analysis visual-search data-augmentation data-curation visualization-tools image-similarity image-duplicate-detection novelty-detection image-classfication
一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda
Data augmentation for NLP, presented at EMNLP 2019
nlp text-classification position cnn embeddings synonyms swap classification rnn sentence data-augmentation
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
review machine-learning survey generative-adversarial-network style-transfer data-generation data-augmentation image-augmentation data-synthesis autoaugment audio-augmentation data-augmentations augmentation-policies nlp-augmentation graph-data-augmentation
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
nlp text-classification distance chatbot chinese feature bert data-augmentation enhance text-augment xlnet
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
machine-learning deep-learning transfer-learning representation-learning unsupervised-learning data-augmentation graph-neural-networks self-supervised-learning pre-training pretext-task
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。
This repository collects papers for "A Survey on Knowledge Distillation of Large Language Models". We break down KD into Knowledge Elicitation and Distillation Algorithms, and explore the Skill & Vertical Distillation of LLMs.
compression feedback survey alignment self-training multi-modal knowledge-distillation data-augmentation kd data-synthesis self-distillation instruction-following llm large-language-model supervised-finetuning
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
audio python music machine-learning deep-learning dsp waveform sound pytorch sound-processing data-augmentation augmentation audio-effects differentiable-data-augmentation audio-data-augmentation
Data Augmentation For Object Detection
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
information-extraction named-entity-recognition event-detection event-extraction data-augmentation relation-extraction zero-shot-learning few-shot-learning knowledge-graph-construction event-arguments cross-domain-learning in-context-learning large-language-models
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
nlp deep-learning word-embeddings pytorch data-augmentation indic-languages sentence-similarity sentence-embeddings sentence-encoding
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