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hnswlib icon hnswlib

Header-only C++/python library for fast approximate nearest neighbors

homm-master icon homm-master

Official Code of Paper HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation

horovod icon horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

hummingbird icon hummingbird

Hummingbird compiles trained ML models into tensor computation for faster inference.

huskarl icon huskarl

Deep Reinforcement Learning Framework + Algorithms

hyperqa icon hyperqa

Implementation of the 2017 paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

iccv2019-inc icon iccv2019-inc

ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

icdm_pqa icon icdm_pqa

This repository holds code of our ICDM paper.

icebeem icon icebeem

Code for ICE-BeeM paper - NeurIPS 2020

ie-survey icon ie-survey

北航大数据高精尖中心张日崇研究团队对信息抽取领域的调研。包括实体识别,关系抽取,属性抽取等子任务,每类子任务分别对学术界和工业界进行调研。

igr-1 icon igr-1

Implicit Geometric Regularization for Learning Shapes

iguanas icon iguanas

Iguanas is a fast, flexible and modular Python package for generating a Rules-Based System (RBS) for binary classification use cases.

ilm icon ilm

Code accompanying the ACL paper "Enabling language models to fill in the blanks" (Donahue et al. 2020)

ilo icon ilo

Official implementation of Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

im2im-uq icon im2im-uq

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

image2katex icon image2katex

公式图片ocr,输入图片输出对应的latex表达式

implicit-lvm icon implicit-lvm

This code repository presents the pytorch implementation of the paper “Implicit Deep Latent Variable Models for Text Generation”(EMNLP 2019).

importanteventextractor icon importanteventextractor

An exploration for Eventline (important news Rank organized by pulic time),针对某一事件话题下的新闻报道集合,通过使用docrank算法,对新闻报道进行重要性识别,并通过新闻报道时间挑选出时间线上重要新闻。

info-hcvae icon info-hcvae

[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

infodrop icon infodrop

Code for our ICML'20 paper "Informative Dropout for Robust Representation Learning: A Shape-bias Perspective"

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