Reverse Dependencies of torchtext

The following projects have a declared dependency on torchtext:

• aideml — Autonomous AI for Data Science and Machine Learning
• aidetector — AiDetector provides a simple interface to train and run models to classify if text was generated by AI or not.
• aitoolbox — PyTorch Model Training and Experiment Tracking Framework
• Audyn — A PyTorch toolkit for audio synthesis.
• backprop — Backprop
• bangla-dictionary — A Complete Bangla Dictionary PyPI Module.
• bert-text-classifier — Train modern text classification models in just a few lines
• beyonddefer — The code for paper 'Is Learn to Defer Enough? Optimal Predictors that Incorporate Human Decisions'
• bgnlp — Package for Bulgarian Natural Language Processing (NLP)
• captum — Model interpretability for PyTorch
• caver — Multi-label Text Classification Toolkit
• change-analyzer — Change analyzer
• classtree — A toolkit for hierarchical classification
• cmtt — A library for processing Code Mixed Text. Still in development!
• codeflare-torchx — TorchX SDK and Components
• cords — cords is a package for data subset selection for efficient and robust machine learning.
• coreml — Generic Framework for ML projects
• DaNuoYi — This package provide the interface to run multitask evolutionary injection generation
• decaf-synthetic-data — DEbiasing CAusal Fairness
• diagnnose — A library that facilitates a broad set of tools for analysing hidden activations of neural models.
• dianna — Deep Insight And Neural Network Analysis
• Djaizz — Artificial Intelligence (AI) in Django Applications
• dnlp — Deep Learning-based NLP
• dronnai — Neural Networks Training Center by Dronn.com
• eeggan — This package uses Generative Adversarial Networks (GANs) to augment EEG data to enhance classification performance.
• eir-dl — no summary
• entity-embed — Transform entities like companies, products, etc. into vectors to support scalable Record Linkage / Entity Resolution using Approximate Nearest Neighbors.
• erutils — no summary
• exdyn — Analyze cell state dynamics dependent on extrinsic factors
• feedbackqa-bart — BART Model for FQA
• flexible-fl — no summary
• flexnlp — no summary
• fluidml — FluidML is a lightweight framework for developing machine learning pipelines. Focus only on your tasks and not the boilerplate!
• forte — Forte is extensible framework for building composable and modularized NLP workflows.
• genn — GeNN (Generative Neural Networks) is a high-level interface for text applications using PyTorch
• giotto-deep — Toolbox for Deep Learning and Topological Data Analysis.
• github-acc-test — Test github actions
• happy-learning — Toolbox for reinforced developing of machine learning models (as proof-of-concept)
• hierarchical-attention-networks — An implementation of Hierarchical Attention Networks for Document Classification
• hnlp — Humanly Deeplearning NLP.
• imix — multimodal deep learning framework
• instate — Instate: predict the state of residence from last name
• KD-Lib — A PyTorch model compression library containing easy-to-use methods for knowledge distillation, pruning, and quantization
• labml-nn — 🧑‍🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, diffusion, etc. 🧠
• LAMDA-SSL — LAMDA-SSL is an useful toolkit for semi-supervised learning.
• libmultilabel — A library for multi-label text classification
• lightKG — lightsmile's knowledge graph library
• lightnlp — lightsmile's nlp library
• lightReasoning — lightsmile's reasoning library
• lightVision — lightsmile's vision library
• lightVisualization — lightsmile's visualization library
• llmtorch — llm model process for pytorch
• lsat — A small example package
• luis-v-subtitler — A Python package to use AI to subtitle any video in any language
• mltrainer — toolkit for training pytorch models
• mmf — mmf: a modular framework for vision and language multimodal research.
• multi-task-nmt-lawhy — Pytorch Implementation of the Multi-task Neural Machine Transliteration System
• multimodal — A collection of multimodal datasets multimodal for research.
• nanga — NLP tasks
• nemo-nlp — Collection of Neural Modules for Natural Language Processing
• niacin — no summary
• nickffs-transliteration — Hinglish --> Hindi transliteration
• njuseg — Chinese Word Segmenter developed by Nanjing University NLP Group
• nlpbook — Applied Natural Language Processing in the Enterprise - An O'Reilly Media Publication
• nlpiper — NLPiper, a lightweight package integrated with a universe of frameworks to pre-process documents.
• nlptoolssna — Python Boilerplate contains all the boilerplate you need to create a Python package.
• nlptooltest — no summary
• nn-toolbox — A toolbox for common deep learning procedures
• omniverse — A collection of code for Omniverse.
• onow — Tools for chatbot data science.
• outlier-hub — Outlierhub, a collection of machine learning datasets.
• pangeamt-toolkit — h1 align="center">
• parlai — Unified platform for dialogue research.
• paxLibUL — Miscellaneous utilities for PAX notebooks
• pivot-based-NMT — a zero-shot NMT
• pix2tex — pix2tex: Using a ViT to convert images of equations into LaTeX code.
• pycode2seq — Inference and training for multiple languages of code2seq
• pysarcat — Sientific papers categorization.
• pytext-nlp — pytorch modeling framework and model zoo for text models
• pytext-nlp-test — pytorch modeling framework and model zoo for text models
• pytorch-cortex — A modular architecture for deep learning systems.
• qkogpt — Quantized KoGPT
• roboy-parlai — Unified API for accessing dialog datasets.
• rtg — Reader Translator Generator(RTG), a Neural Machine Translator(NMT) toolkit based on Pytorch
• rxn-opennmt-py — Fork of OpenNMT-py for use in RXN projects
• scgpt — Large-scale generative pretrain of single cell using transformer.
• sensai — The Python library for sensible AI
• seq2seq-pytorch — Industrial-grade implementation of seq2seq algorithm based on Pytorch, integrated beam search algorithm.
• sgnlp — Machine learning models from Singapore's NLP research community
• slg-nimrod — minimal deep learning framework
• small-text — Active Learning for Text Classifcation in Python.
• spadepp — no summary
• syntheseus-megan — Fork of MEGAN for use in the syntheseus library
• textformer — Transformer-based Text Operators
• tmnt — Topic modeling neural toolkit
• torchfusion — A modern deep learning framework built to accelerate research and development of AI systems
• torchmm — PyTorch DataLoader and Abstraction for multi-modal data.
• torchnlp — NLP framework implemented with pytorch
• torchx — TorchX SDK and Components
• torchx-applovin — TorchX SDK and Components