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allennlp

An open-source NLP research library, built on PyTorch.

allennlp-models

Officially supported AllenNLP models

asfi_formalization

NLP code for open source governance research

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bertsum

Code for paper Fine-tune BERT for Extractive Summarization

bottom-up-attention

Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome

bpfa_2015

BPFA based PPG denoising

chatrlab-api-heroku

chatrlab_annotation_desktop

Browse and annotate data hosted on google cloud

coding-interview-university

A complete computer science study plan to become a software engineer.

early-stopping-pytorch

Early stopping for PyTorch

ee_511_assignments

incremental_decision_tree-cart-random_forest_python

incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest

lxmert

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

mahasweta-usc.github.io

mturk_form_chatrlab

nlp4gov

An extensive, curated collection of functionalities and tasks in natural language processing(NLP), adapted to aid empirical policy analysis at scale.

orfnew

orfpy

Online Random Forests (Saffari) for Python

sequential_sentence_classification

https://arxiv.org/pdf/1909.04054

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

transformers-tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

vl-bert

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

vowpal_wabbit

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

vwoptimize

Drop-in wrapper for Vowpal Wabbit that adds hyper-parameter tuning, more performance metrics, text preprocessing, reading from csv/tsv, feature extraction and k-fold cross-validation