Stars
A complete computer science study plan to become a software engineer.
8-week curriculum for AI Builders
log anomaly detection toolkit including DeepLog
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Data science interview questions and answers
Data science interview questions with answers. Not ideally (yet)
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Deep distance-based outlier detection published in KDD18: Learning representations specifically for distance-based outlier detection. Few-shot outlier detection
An Open-Source Package for Information Retrieval.
Codes for IJCAI2020 paper "Unsupervised Representation Learning by Predicting Random Distances” https://arxiv.org/abs/1912.12186
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection
Anomaly detection related books, papers, videos, and toolboxes
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
Github page for the preprint paper "InfoCatVAE: Representation Learning with Categorical Variational Autoencoders"
DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Code for the paper Non-Autoregressive Dialog State Tracking (ICLR20)
The most common question-patterns for any coding-interview
DSTC9 Track 1 - Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A collection of various deep learning architectures, models, and tips
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
CrossBERT: a Triplet Neural Architecture for Ranking EntityProperties
Sequential-based Adversarial Optimisation for Personalised Top-N Item Recommendation
⏸ Parallelized hyper-param optimization with validation set, not crossval
Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
The Schema-Guided Dialogue Dataset