halqin's Stars
microsoft/PowerToys
Windows system utilities to maximize productivity
tensorflow/models
Models and examples built with TensorFlow
iina/iina
The modern video player for macOS.
recommenders-team/recommenders
Best Practices on Recommendation Systems
tensorflow/tensorboard
TensorFlow's Visualization Toolkit
lyst/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
AMD-OSX/AMD_Vanilla
Native AMD macOS via OpenCore
televator-apps/vimari
Safari port of vimium
hexiangnan/neural_collaborative_filtering
Neural Collaborative Filtering
ruotianluo/pytorch-faster-rcnn
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
PreferredAI/cornac
A Comparative Framework for Multimodal Recommender Systems
GoogleCloudPlatform/tf-estimator-tutorials
This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way
jalajthanaki/Job_recommendation_engine
This repository contains code how to build job recommendation engine using Kaggle 'Job Recommendation Challenge' dataset
tej-prash/Job-Recommendation-System
A job recommendation system that recommends IT jobs to IT job seekers
sunbigshan/learnAlgorithm
数据结构与算法之美
Dreamail/OpenCore-Asus-TUF-B450M-Plus-Gaming
Hackintosh EFI for Asus TUF B450M Plus Gaming
david-cortes/recometrics
(Python, R, C++) Library-agnostic evaluation framework for implicit-feedback recommender systems
git-coder988/Ryzen-Hackintosh
Working OpenCore configuration for AMD Ryzen 5 2600
aarivan/Graph-Embeddings-for-Recommender-Systems
In this project, we will revisit the problem central to recommender systems: predicting a user’s preference for some item they have not yet rated. Like the Spark recommender from the first project, we will use a collaborative filtering model to explore this problem. Recall that in this model, the goal is to find the sentiment of a user about a particular item Unlike the the first project that used the ALS method, however, we will perform this task using a graphbased technique called DeepWalk.
driesbenoit/ugent-beamer
Ghent University theme for the LaTeX beamer class
jdodds/py-tdd-by-example
A walkthrough of the examples given in "Test Driven Development by Example" by Kent Beck using Python.
Leavingseason/RecsysChallenge2017
Our solution for Recsys Challenge 2017.
khaizr0/Hackintosh-Dell-inspiron-3458
Hackintosh on Dell inspiron 3458
cskarthik7/One-Shot-Learning-PyTorch
Implemented One Shot Face Recognition Using Siamese Neural Network using Pytorch on AT&T dataset
driesbenoit/ugent-letter
Ghent University letter class for writing professional documents in LaTeX
driesbenoit/benchmark_R_Julia_Fortran
yeexunwei/job-recommender
Recommend jobs using collaborative filtering and ALS.
ZiyaoGeng/competition-baseline
数据科学竞赛各种baseline代码、思路分享
kmr0877/IMDB-Sentiment-Classification-CBOW-Model
We will develop a classifier able to detect the sentiment of movie reviews. Sentiment classification is an active area of research. Aside from improving performance of systems like Siri and Cortana, sentiment analysis is very actively utilized in the finance industry, where sentiment is required for automated trading on news snippits and press releases.