AmazaspShumik
Principal Data Scientist / Machine Learning Engineer
@OpenTableSan Francisco / Palo Alto
Pinned Repositories
algorithms
Interesting and fun algorithmic problems & solutions
Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
BayesianML-MCMC
Bayesian Model Inference using MCMC
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
JDSAL
Data Structures & Algorithms in Java. Preparing for interview
MapReduce-Machine-Learning
Map-Reduce implementation of some machine learning algorithms
Mixture-Models
Hierarchical Mixture of Experts,Mixture Density Neural Network
mtlearn
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
AmazaspShumik's Repositories
AmazaspShumik/sklearn-bayes
Python package for Bayesian Machine Learning with scikit-learn API
AmazaspShumik/mtlearn
Multi-Task Learning package built with tensorflow 2 (Multi-Gate Mixture of Experts, Cross-Stitch, Ucertainty Weighting)
AmazaspShumik/Mixture-Models
Hierarchical Mixture of Experts,Mixture Density Neural Network
AmazaspShumik/MapReduce-Machine-Learning
Map-Reduce implementation of some machine learning algorithms
AmazaspShumik/BayesianML-MCMC
Bayesian Model Inference using MCMC
AmazaspShumik/JDSAL
Data Structures & Algorithms in Java. Preparing for interview
AmazaspShumik/algorithms
Interesting and fun algorithmic problems & solutions
AmazaspShumik/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.
AmazaspShumik/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
AmazaspShumik/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
AmazaspShumik/algorithm_failures
Experiments that show failure cases for algorithms
AmazaspShumik/dgnn
Deep Generative Neural Networks
AmazaspShumik/gbm_learn
Learn Gradient Boosting. Gain deeper understanding of LightGBM, CatBoost and XGBoost by implementing many components from scratch
AmazaspShumik/Ranking_Papers
Papers on recommendation system / search ranking.