Shyam Prakash's repositories
awesome-for-beginners
A list of awesome beginners-friendly projects.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
CARSKit
Java-Based Context-aware Recommendation Library
chameleon_recsys
Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
cmfrec
Python/Tensorflow implementation of 'Relational learning via collective matrix factorization' with some extensions
books
技术资料分享
DeepLearningExamples
Deep Learning Examples
DeepRecommender
Deep learning for recommender systems
DropoutNet
Code for the NIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
Hands-On-Machine-Learning
Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
librec
LibRec: A Leading Java Library for Recommender Systems, see
lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
Machine-Learning-Books
A curated collection of free Machine Learning related eBooks
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ml-road
Machine Learning Resources, Practice and Research
Movie_Recommend
基于Spark的电影推荐系统,包含爬虫项目、web网站、后台管理系统以及spark推荐系统
MyDataSciencePortfolio
Applying Data Science and Machine Learning to Solve Real World Business Problems
nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
RecSys_Course_2018
This is the official repository for the 2018 Recommender Systems course at Polimi.
scikit-learn
scikit-learn: machine learning in Python
scripting_course
:notebook: A reference guide to Linux command line, Vim and Scripting
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
vl6_recsys2018
1'st Place Approach by Layer6 AI for the 2018 ACM RecSys Challenge