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a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
Task-based datasets, preprocessing, and evaluation for sequence models.
Avatars for Zoom, Skype and other video-conferencing apps.
๐ PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 ๐ด
Code corresponding to our paper "A Graph-to-Sequence Model for AMR-to-Text Generation"
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (Vโฆ
WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information
brainsharks-fyp17 / semits
Forked from ybz79/semitsSemi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders
๐ State-of-the-art parsers for natural language.
PredPatt: Predicate-Argument Extraction from Universal Dependencies
A very simple framework for state-of-the-art Natural Language Processing (NLP)
A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.
A Semantic Role Label classifier inspired by the article "Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling" by Marcheggiani and Titov.
Efficiently computes derivatives of NumPy code.
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
PORORO: Platform Of neuRal mOdels for natuRal language prOcessing
๐ก Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
A curated list of GAN & Deepfake papers and repositories.
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
list of efficient attention modules
Test code of Inverse cloze task for information retrieval
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
Minimal PyTorch implementation of YOLOv3