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acd

Official code for using / reproducing ACD (ICLR 2019) from the paper "Hierarchical interpretations for neural network predictions" https://arxiv.org/abs/1806.05337

amazon-kinesis-data-analytics-examples

Example applications in Java, Python and SQL for Kinesis Data Analytics, demonstrating sources, sinks, and operators.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-etl

A curated list of awesome ETL frameworks, libraries, and software.

bert-squad

SQuAD Question Answering Using BERT, PyTorch

bi-att-flow

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

cannyedge

cd-extremenet

centernet

Object detection, 3D detection, and pose estimation using center point detection:

cis-seminars

cis530-computational-linguistics

cis530-project

cornernet

countries

🌎 Public GraphQL API for information about countries

cs224n-squad-project

dca

Deep count autoencoder for denoising scRNA-seq data

ddia

《Designing Data-Intensive Application》DDIA中文翻译

deep-learning-final-projects

deepar

Tensorflow implementation of Amazon DeepAR

dextr-pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

doc-class

Document classification (14 labels/targets) with encrypted words

document-classification-test

Document classification problem for job applicants

extremenet

Bottom-up Object Detection by Grouping Extreme and Center Points

fusionseg

Video Object Segmentation

github-pages-with-jekyll

github-readme-stats

:zap: Dynamically generated stats for your github readmes

githut

Github Language Statistics

gnirehtet

Gnirehtet provides reverse tethering for Android

integrated-gradients

Attributing predictions made by the Inception network using the Integrated Gradients method