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Alasdair Tran alasdairtran Australian National University Sydney, Australia Just another collection of fermions and bosons.

alasdairtran/mclass-sky 2

A collection of active learning algorithms with applications in astronomy.

alasdairtran/golang-neo4j-bolt-driver 1

Golang Bolt driver for Neo4j

alasdairtran/machine-learning-cheat-sheet 1

Classical equations and diagrams in machine learning

alasdairtran/Adversarial_Video_Generation 0

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

alasdairtran/alasdairtran.github.io 0

A simple Jekyll theme.

alasdairtran/allennlp 0

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

alasdairtran/cmLab 0

website source for the computational media lab

alasdairtran/coherence 0

NLP text coherence experiments

alasdairtran/coref-as-service 0

Mapping a variable-length sentence to a fixed-length vector using BERT model

alasdairtran/digbeta 0

Active learning for Big Data

startedavalanchesiqi/twitter-sampling

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startedavalanchesiqi/twitter-intact-stream

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startedjoke2k/faker

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startedNoahs-ARK/idea_relations

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fork qykong/BiliBiliTool

.Net Core 编写的跨平台的B站(哔哩哔哩)任务工具,通过GitHub Actions实现每日线上自动运行任务:每日自动登录、观看、分享、投币视频,获取每日任务的满额经验,轻松升级Level 6,实现自动领取大会员权益、月底自动为自己充电等功能。

https://www.cnblogs.com/RayWang/p/13909784.html

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startedalasdairtran/transform-and-tell

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startedHMEIatJHU/tpp-short-course

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startedcmmid/ringbp

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startedalasdairtran/transform-and-tell

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startedbroly8/libpinyin-dict

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startedhuan/docker-wechat

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startedalasdairtran/transform-and-tell

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starteddgrtwo/tidy-text-mining

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startedmicrosoft/hummingbird

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startedcirculosmeos/gdown.pl

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startedkenziyuliu/MS-G3D

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startedxkiwilabs/DQN-using-PyTorch-and-ML-Agents

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startedalasdairtran/transform-and-tell

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startedmlverse/torchbook

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startedImperialCollegeLondon/covid19model

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issue openedalasdairtran/transform-and-tell

other news domains

Great job. Is there a way to reproduce the results for other news outlets besides new york times without training from scratch? How can we fine-tune your trained model on our own news dataset?

Basically, I want to run your model to make predictions on my news dataset.

https://transform-and-tell.ml/

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startedalasdairtran/transform-and-tell

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startedverashira/TSPNet

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issue openedalasdairtran/transform-and-tell

loss

Hi, I am using sum of two losses as the final loss to optimize. Is there a way to use one of them as the loss for saving the best model? Not the sum. Thank you.

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startednumba/numba

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startedshchur/ifl-tpp

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startedalasdairtran/transform-and-tell

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startedalasdairtran/transform-and-tell

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