Stars
[CVPR 2022] Official code for "RegionCLIP: Region-based Language-Image Pretraining"
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Implementation for our paper "Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues."
A library for efficient similarity search and clustering of dense vectors.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
A lightweight, object-oriented finite state machine implementation in Python with many extensions
[CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations
End-to-End Object Detection with Transformers
Optimus: the first large-scale pre-trained VAE language model
A small package to create visualizations of PyTorch execution graphs
Fast, general, and tested differentiable structured prediction in PyTorch
Demo for method introduced in "Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs"
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Pytorch implementation of convolutional neural network visualization techniques
Hierarchical Embeddings for Hypernymy Detection and Directionality
Line-granularity, thread-aware deterministic and statistic pure-python profiler
Text classification models. Used a submodule for other projects.
We are trying to define a framework for NLP tasks that easily maps any kind of word embedding data set with any kind of text data set. The framework should decrease the amount of additional code ne…
Named Entity Recognition (LSTM + CRF) - Tensorflow
Meandering In Networks of Entities to Reach Verisimilar Answers