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An Open-Source Framework for Prompt-Learning.
This repository contains demos I made with the Transformers library by HuggingFace.
This is a simple Python package for calculating a variety of lexical diversity indices
Official implementation of "Recovering the Unbiased Scene Graphs from the Biased Ones" (ACMMM 2021)
Must-read papers on prompt-based tuning for pre-trained language models.
Compilation of resources for aspiring data scientists
DSTC9 Track 1 - Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access
Paper List for Style Transfer in Text
A comprehensive and long list of things a modern scientist is supposed to know
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons
Reading list for Awesome Sentiment Analysis papers
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Papers & presentation materials from Hugging Face's internal science day
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Reading list for research topics in multimodal machine learning
A Code-First Introduction to NLP course
a python implementation of latent dirichlet allocation(lda) using variational EM algorithm
A curated list of pretrained sentence and word embedding models
PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
This repository is to prepare for Machine Learning interviews.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).