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📚 References

Unlock the potential of AI 🚀

🌟 Curated collection of Analytics, Data Science, Machine Learning and Deep Learning papers, reviews and articles that are on must read list. ⛅️

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Teradata​

Data Science​

📊 Pre-processing & EDA​

🥇 📄Data preprocessing - Tidy data - by Hadley Wickham

📓 General DS​

🥇 📄 Statistical Modeling: The Two Cultures - by Leo Breiman

🥈 📄 A study in Rashomon curves and volumes: A new perspective on generalization and model simplicity in machine learning

🥇 📄 Frequentism and Bayesianism: A Python-driven Primer by Jake VanderPlas

Machine Learning​

🎯 General ML​

🥇 📄 Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning - by Sebastian Raschka

🥇 📄 A Brief Introduction into Machine Learning - by Gunnar Ratsch

🥉 📄 An Introduction to the Conjugate Gradient Method Without the Agonizing Pain - by Jonathan Richard Shewchuk

🥉 📄 On Model Stability as a Function of Random Seed

🔍 Outlier/Anomaly detection​

🥇 📰 Outlier Detection : A Survey

🚀 Boosting​

🥈 📄 XGBoost: A Scalable Tree Boosting System

🥈 📄 LightGBM: A Highly Efficient Gradient BoostingDecision Tree

🥈 📄 AdaBoost and the Super Bowl of Classifiers - A Tutorial Introduction to Adaptive Boosting

🥉 📄 Greedy Function Approximation: A Gradient Boosting Machine

:book: Unraveling Blackbox ML​

🥉 📄 Peeking Inside the Black Box: Visualizing Statistical Learning with Plots of Individual Conditional Expectation

🥉 📄 Data Shapley: Equitable Valuation of Data for Machine Learning

✂️ Dimensionality Reduction​

🥇 📄 A Tutorial on Principal Component Analysis

🥈 📄 How to Use t-SNE Effectively

🥉 📄 Visualizing Data using t-SNE

📈 Optimization​

🥇 📄 A Tutorial on Bayesian Optimization

🥈 📄 Taking the Human Out of the Loop: A review of Bayesian Optimization

Famous Blogs​

Sebastian Raschka Chip Huyen

🎱 🔮 Recommenders​

Surveys​

🥇 📄 A Survey of Collaborative Filtering Techniques

🥇 📄 Collaborative Filtering Recommender Systems

🥇 📄 Deep Learning Based Recommender System: A Survey and New Perspectives

🥇 📄 🤔 ⭐ Explainable Recommendation: A Survey and New Perspectives ⭐

Case Studies​

🥈 📄 The Netflix Recommender System: Algorithms, Business Value,and Innovation

🥈 📄 Two Decades of Recommender Systems at Amazon.com

🥈 🌐 How Does Spotify Know You So Well?

👉 More In-Depth study, 📕 Recommender Systems Handbook

Famous Deep Learning Blogs 🤠​

🌐 Stanford UFLDL Deep Learning Tutorial

🌐 Distill.pub

🌐 Colah's Blog

🌐 Andrej Karpathy

🌐 Zack Lipton

🌐 Sebastian Ruder

🌐 Jay Alammar

📚 Neural Networks and Deep Learning Neural Networks​

⭐ 🥇 📰 The Matrix Calculus You Need For Deep Learning - Terence Parr and Jeremy Howard ⭐

🥇 📰 Deep learning -Yann LeCun, Yoshua Bengio & Geoffrey Hinton

🥇 📄 Generalization in Deep Learning

🥇 📄 Topology of Learning in Artificial Neural Networks

🥇 📄 Dropout: A Simple Way to Prevent Neural Networks from Overfitting

🥈 📄 Polynomial Regression As an Alternative to Neural Nets

🥈 🌐 The Neural Network Zoo

🥈 🌐 Image Completion with Deep Learning in TensorFlow

🥈 📄 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

🥉 📄 A systematic study of the class imbalance problem in convolutional neural networks

🥉 📄 All Neural Networks are Created Equal

🥉 📄 Adam: A Method for Stochastic Optimization

🥉 📄 AutoML: A Survey of the State-of-the-Art

🖼 CNNs​

🥇 📄 Visualizing and Understanding Convolutional Networks -by Andrej Karpathy Justin Johnson Li Fei-Fei

🥈 📄 Deep Residual Learning for Image Recognition

🥈 📄AlexNet-ImageNet Classification with Deep Convolutional Neural Networks

🥈 📄VGG Net-VERY DEEP CONVOLUTIONAL NETWORKS FOR LARGE-SCALE IMAGE RECOGNITION

🥉 📄 A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction

🥉 📄 Large-scale Video Classification with Convolutional Neural Networks

🥉 📄 Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

⚫ CapsNet 🔱​

🥇 📄 Dynamic Routing Between Capsules

🏞 💬 Image Captioning​

🥇 📄 Show and Tell: A Neural Image Caption Generator

🥈 📄 Neural Machine Translation by Jointly Learning to Align and Translate

🥈 📄 StyleNet: Generating Attractive Visual Captions with Styles

🥈 📄 Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

🥈 📄 Where to put the Image in an Image Caption Generator

🥈 📄 Dank Learning: Generating Memes Using Deep Neural Networks

:car: 🚶 Object Detection 🦅 🏈​

🥈 📄ResNet-Deep Residual Learning for Image Recognition

🥈 📄 YOLO-You Only Look Once: Unified, Real-Time Object Detection

🥈 📄 Microsoft COCO: Common Objects in Context

🥈 📄 (R-CNN) Rich feature hierarchies for accurate object detection and semantic segmentation

🥈 📄 Fast R-CNN

🥈 📄 Faster R-CNN

🥈 📄 Mask R-CNN

:car: 🚶 👫 Pose Detection :runner: 💃​

🥈 📄 DensePose: Dense Human Pose Estimation In The Wild

🥈 📄 Parsing R-CNN for Instance-Level Human Analysis

🔡 🔣 Deep NLP 💱 🔢​

🥇 📄 A Primer on Neural Network Models for Natural Language Processing

🥇 📄 Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

🥇 📄 On the Properties of Neural Machine Translation: Encoder–Decoder Approaches

🥇 📄 LSTM: A Search Space Odyssey - by Klaus Greff et al.

🥇 📄 A Critical Review of Recurrent Neural Networksfor Sequence Learning

🥇 📄 Visualizing and Understanding Recurrent Networks

⭐ 🥇 📄 Attention Is All You Need ⭐

🥇 📄 An Empirical Exploration of Recurrent Network Architectures

🥇 📄 Open AI (GPT-2) Language Models are Unsupervised Multitask Learners

🥇 📄 BERT: Pre-training of Deep Bidirectional Transformers forLanguage Understanding

🥉 📄 Parameter-Efficient Transfer Learning for NLP

🥉 📄 A Sensitivity Analysis of (and Practitioners’ Guide to) ConvolutionalNeural Networks for Sentence Classification

🥉 📄 A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

🥉 📄 Convolutional Neural Networks for Sentence Classification

🥉 📄 Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

🥉 📄 Single Headed Attention RNN: Stop Thinking With Your Head

👽 GANs​

🥇 📄 Generative Adversarial Nets - Goodfellow et al.

📚 GAN Rabbit Hole -> GAN Papers

⭕➖⭕ GNNs (Graph Neural Networks)​

🥉 📄 A Comprehensive Survey on Graph Neural Networks

👨‍⚕️ 💉 Medical AI 💊 🔬​

Machine learning classifiers and fMRI: a tutorial overview - by Francisco et al.

👇 Cool Stuff 👇​

🔊 📄 SoundNet: Learning Sound Representations from Unlabeled Video

🎨 📄 CAN: Creative Adversarial NetworksGenerating “Art” by Learning About Styles andDeviating from Style Norms

🎨 📄 Deep Painterly Harmonization

🕺 💃 📄 Everybody Dance Now

⚽ Soccer on Your Tabletop

👱‍♀️ 💇 📄 SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color

📸 📄 Handheld Mobile Photography in Very Low Light

🏯 🕌 📄 Learning Deep Features for Scene Recognitionusing Places Database

🚅 🚄 📄 High-Speed Tracking withKernelized Correlation Filters

🎬 📄 Recent progress in semantic image segmentation

Rabbit hole -> 🔊 🌐 Analytics Vidhya Top 10 Audio Processing Tasks and their papers

👱 -> 👴 📄 📄 Face Aging With Condintional GANS

👱 -> 👴 📄 📄 Dual Conditional GANs for Face Aging and Rejuvenation

⚖ 📄 BAGAN: Data Augmentation with Balancing GAN

labml.ai Annotated PyTorch Paper Implementations

📰 Cap Stone Projects 📰​

8 Awesome Data Science Capstone Projects

10 Powerful Applications of Linear Algebra in Data Science

Top 5 Interesting Applications of GANs

Deep Learning Applications a beginner can build in minutes