bookcold

bookcold

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PyRCA

PyRCA: A Python Machine Learning Library for Root Cause Analysis

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al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

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cpsc330-2022W1

CPSC 330: Applied Machine Learning

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2021

Materials for Applied Data Analysis CS-401, Fall 2021

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ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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NYU-DLSP20

NYU Deep Learning Spring 2020

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Conference-Acceptance-Rate

Acceptance rates for the major AI conferences

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causal-text-papers

Curated research at the intersection of causal inference and natural language processing.

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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

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Awesome-Incremental-Learning

Awesome Incremental Learning

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logbert

log anomaly detection via BERT

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Causal_Reading_Group

We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.

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Awesome-Cybersecurity-Datasets

A curated list of amazingly awesome Cybersecurity datasets

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VED

VED (Vehicle Energy Dataset): A Large-scale Dataset for Vehicle Energy Consumption Research. (IEEE Transactions on Intelligent Transportation Systems, 2020)

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fastbook

The fastai book, published as Jupyter Notebooks

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deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

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hate-speech-and-offensive-language

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

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logdeep

log anomaly detection toolkit including DeepLog

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loghub

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

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pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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mace

Model Agnostic Counterfactual Explanations

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berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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docker-stacks

Ready-to-run Docker images containing Jupyter applications

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contextualbandits

Python implementations of contextual bandits algorithms

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BanditsBook

Code for my book on Multi-Armed Bandit Algorithms

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Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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pumpkin-book

《机器学习》(西瓜书)公式详解

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awesome-self-supervised-learning

A curated list of awesome self-supervised methods

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