Pinned Repositories
MicroHackML
blog-source
breaktask
Colour-recognition-in-images
recognizing different colors present in any image.
commodity-futures
covid-19-detection
crmbeta
Ear-Recgn
EventPrediction_DeepLearning
Contains Source codes and reports for the project of the course IEORE4272 Deep Learning for Operations Research and Financial Engineering
PricingTermStructure
Pricing the Term Structure with Linear Regressions
shauryashivam's Repositories
shauryashivam/commodity-futures
shauryashivam/blog-source
shauryashivam/breaktask
shauryashivam/Colour-recognition-in-images
recognizing different colors present in any image.
shauryashivam/covid-19-detection
shauryashivam/Credit-Card-Fraud-Detection
Credit Card Fraud Detection using Isolation Forest Algorithm and Local Outlier Factor(LOF) Algorithm.
shauryashivam/crmbeta
shauryashivam/crosswoc-script
shauryashivam/data-driven-prediction-of-battery-cycle-life-before-capacity-degradation
Code for Nature energy manuscript
shauryashivam/dataset
shauryashivam/Ear-Recgn
shauryashivam/EventPrediction_DeepLearning
Contains Source codes and reports for the project of the course IEORE4272 Deep Learning for Operations Research and Financial Engineering
shauryashivam/leetcode-python
A Brush up of DSA problems, but this time in Python
shauryashivam/LMS
Front-End Prototype for a Learning Management System
shauryashivam/LoggerInterpreter
shauryashivam/Mastering-Python-for-Finance-source-codes
Accompanying source codes for my book 'Mastering Python for Finance'.
shauryashivam/mc305proj
This repository contains the code and report for the semester project of software engineering
shauryashivam/MicroHackML
shauryashivam/mlpack
mlpack: a scalable C++ machine learning library --
shauryashivam/mouse-dynamics
A Repository to study user mouse dynamics
shauryashivam/MSP
shauryashivam/Pattern-Recognition-Assignment
shauryashivam/Phishing-Detection
A Python based app to detect Malicious (Phishing) URL.
shauryashivam/PR-project
Code for Semester Project of CO-324 Pattern Recognition
shauryashivam/psharmonics
shauryashivam/PVX_Programming
fork and contribute
shauryashivam/Recommendation-systems
Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory: ML & DL Formulation, Prediction vs. Ranking, Similiarity, Biased vs. Unbiased Paradigms: Content-based, Collaborative filtering, Knowledge-based, Hybrid and Ensembles Data: Tabular, Images, Text (Sequences) Models: (Deep) Matrix Factorisation, Auto-Encoders, Wide & Deep, Rank-Learning, Sequence Modelling Methods: Explicit vs. implicit feedback, User-Item matrix, Embeddings, Convolution, Recurrent, Domain Signals: location, time, context, social, Process: Setup, Encode & Embed, Design, Train & Select, Serve & Scale, Measure, Test & Improve Tools: python-data-stack: numpy, pandas, scikit-learn, keras, spacy, implicit, lightfm Notes & Slides Basics: Deep Learning AI Conference 2019: WhiteBoard Notes | In-Class Notebooks Notebooks Movies - Movielens 01-Acquire 02-Augment 03-Refine 04-Transform 05-Evaluation 06-Model-Baseline 07-Feature-extractor 08-Model-Matrix-Factorization 09-Model-Matrix-Factorization-with-Bias 10-Model-MF-NNMF 11-Model-Deep-Matrix-Factorization 12-Model-Neural-Collaborative-Filtering 13-Model-Implicit-Matrix-Factorization 14-Features-Image 15-Features-NLP Ecommerce - YooChoose 01-Data-Preparation 02-Models News - Hackernews Product - Groceries Python Libraries Deep Recommender Libraries Tensorrec - Built on Tensorflow Spotlight - Built on PyTorch TFranking - Built on TensorFlow (Learning to Rank) Matrix Factorisation Based Libraries Implicit - Implicit Matrix Factorisation QMF - Implicit Matrix Factorisation Lightfm - For Hybrid Recommedations Surprise - Scikit-learn type api for traditional alogrithms Similarity Search Libraries Annoy - Approximate Nearest Neighbour NMSLib - kNN methods FAISS - Similarity search and clustering Learning Resources Reference Slides Deep Learning in RecSys by Balázs Hidasi Lessons from Industry RecSys by Xavier Amatriain Architecting Recommendation Systems by James Kirk Recommendation Systems Overview by Raimon and Basilico Benchmarks MovieLens Benchmarks for Traditional Setup Microsoft Tutorial on Recommendation System at KDD 2019 Algorithms & Approaches Collaborative Filtering for Implicit Feedback Datasets Bayesian Personalised Ranking for Implicit Data Logistic Matrix Factorisation Neural Network Matrix Factorisation Neural Collaborative Filtering Variational Autoencoders for Collaborative Filtering Evaluations Evaluating Recommendation Systems
shauryashivam/shauryashivam
An Attempt make my GitHub Profile Attractive
shauryashivam/Study-09-MachineLearning-B
**Supervised-Learning** (with some Kaggle winning solutions and their reason of Model Selection for the given dataset).
shauryashivam/Web-Project