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Search results for jupyter notebook rating
jupyter-notebook
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46 search results found
Tqdm
⭐
26,694
⚡ A Fast, Extensible Progress Bar for Python and CLI
Recommenders
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17,972
Best Practices on Recommendation Systems
Clr
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993
Datasets For Recommender Systems
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821
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Goodbooks 10k
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576
Ten thousand books, six million ratings
Cvpr 2019 Paper Statistics
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525
Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
Kerasgan
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501
A couple of simple GANs in Keras
Iclr2021 Openreviewdata
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365
Crawl & visualize ICLR papers and reviews.
Iclr2020 Openreviewdata
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355
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
Openskill.py
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224
Multiplayer Rating System. No Friction.
Movielens
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202
4 different recommendation engines for the MovieLens dataset.
Goodreads Scraper
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196
A Python scraper for Goodreads books and reviews.
Movie_recommend_system
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180
🎥 一个简单的电影推荐系统
Machine Learning
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159
Machine learning library written in readable python code
Interactive Corporate Report
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156
ICR - Automated and Intelligent Company Report Built in Python (by @firmai)
Adsabs Dev Api
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152
Developer API service description and example client code
Hrv
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146
A Python package for heart rate variability analysis
The Movie Cinema
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140
The Movie Database for all language movies
Choicenet
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122
Implementation of ChoiceNet
Arduino Max30100
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117
Arduino library for MAX30100, integrated oximeter and heart rate sensor
Recommender System Tutorial
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104
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
Prisma_abu
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99
用机器学习做个艺术画家-Prisma
Kgcn Pytorch
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84
KGCN pytorch model implementation
Books2rec
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76
A recommender system built for book lovers.
Mask_rcnn
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73
Instance Segmenation through Webcam using Mask-RCNN
Tensorflow Compress
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73
Data compression using LSTM in TensorFlow
Movies
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70
Second Springboard Capstone Project: A Movie Recommender
One_cycle_policy
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70
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
Recommender System On Movielens Dataset
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69
Knowledge-based, Content-based and Collaborative Recommender systems are built on MovieLens dataset with 100,000 movie ratings. These Recommender systems were built using Pandas operations and by fitting KNN, SVD & deep learning models which use NLP techniques and NN architecture to suggest movies for the users based on similar users and for queries specific to genre, user, movie, rating, popularity.
Scentmate_rec
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68
Built a fragrance recommender using multiple machine learning algorithms to help people find their perfect match. The final deliverable was a webapp.
Data Science And Machine Learning Projects Dojo
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67
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
Nsl Kdd
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63
PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html
Hypothesis Testing With Python
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59
True difference or noise? 📊
Codeforces Api
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56
Tools for estimating problem difficulty, predictors rating trajectories, and tracking individual learning progress in algorithms.
Movie Recommender Demo
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50
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).
Gillespie.jl
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50
Stochastic Gillespie-type simulations using Julia
Iccv 2019 Paper Statistics
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46
Statistics and Visualization of acceptance rate, main keyword of ICCV 2019 accepted papers for the main Computer Vision conference (ICCV)
Face_rating
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44
Face/Beauty Rating with both the traditional ML approaches and Convolutional Neural Network Approach
Deep_ctr
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41
Glucose
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40
GLUCOSE: GeneraLized and COntextualized Story Explanations https://arxiv.org/abs/2009.07758
Tchem
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40
TChem - A Software Toolkit for the Analysis of Complex Kinetic Models
Yelp Business Analysis
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38
Yelp public their business data online. I am interested in the rationality of users' rating score based on users' reviews. Therefore, I decide to study this problem from Data Scientist perspective. I also make use of current rating system to build recommendation system for users.
My Movie Recommender
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38
Personal movie recommender system and a research sandbox
Transformer Evolution
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37
Transformer 이후 나온 Pretrained Language Model을 간단하게 구현하였음.
Yolov1 Tensorflow2.0
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37
A tensorflow2.0 implementation of the YOLOv1 paper https://arxiv.org/pdf/1506.02640
Goodreads_visualization
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37
A Jupyter notebook where I play with my Goodreads data
Yelp_nlp_project
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36
Economic Data
⭐
36
Python programs for constructing various economic datasets
Resnet.torch
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35
an updated version of fb.resnet.torch with many changes.
Bellkoralgorithm
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33
A Python implementation of the Bellkor Algorithm
Nonrad
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32
Implementation for computing nonradiative recombination rates in semiconductors
Emnist
⭐
31
Classify EMNIST Digits using Convolutional Neural Networks
Recommendationengine
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31
A 3-hour workshop for understanding deep learning recommendation systems.
Movie_ratings_2016_17
⭐
30
Contains a dataset with movie ratings for some of the most popular movies for 2016 and 2017 (IMDB, Fandango, Metacritic, Rotten Tomatoes)
Mal Analysis
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30
github repo for MyAnimeList analysis. Also links to the MAL dataset.
Rocanalysis.jl
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30
Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers
Abandittesting
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28
No Regrets: A deep dive comparison of bandits and A/B testing
Cvpr 2020 Paper Statistics
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26
Statistics and Visualization of acceptance rate, main keyword of CVPR 2020 accepted papers for the main Computer Vision conference (CVPR)
Learning Rate
⭐
25
Implementation of Learning Rate Finder, SGDR and Cyclical Learning Rate in Keras
Yield Curve
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25
A Python/Jupyter notebook project to understand the Yield Curve and its potential for forecasting a recession
Pybor
⭐
24
PYBOR is multi-curve interest rate framework and risk engine based on multivariate optimization techniques, written in Python
Movie_recommendation_engine
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23
This repository contains the code for building movie recommendation engine.
Bothound
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22
Automatic attack detector and botnet classifier
Lrfinder
⭐
22
Learning Rate Finder (or LRFinder) Callback for Keras. Implementation as close as possible of FastAI.
Melidatachallenge2020
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21
EfectoBolo Model #MeLiDataChallenge 2020
Rateme
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21
Computer vision rating system 👍
Explicit Vs Implicit
⭐
20
An experiment on explicit vs implicit feedback recommenders
Nd320 C4 Wearable Data Project Starter
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20
Trafficsignrecognition
⭐
20
A Deep Neural Network to do traffic sign recognition
Safewithdrawal_tensorflow
⭐
20
Safe Withdrawal with Certainty Equivalent Cash Flow and TensorFlow
End To End Lead Scoring
⭐
19
An end-to-end enterprise-grade example of working a data science problem.
Podcast Recommendation Engine
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19
🎤 Building a content-based podcast recommender system using NLP
Log Structured Merge Tree
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19
Pleiofdr
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19
Pleiotropy-informed conditional and conjunctional false discovery rate
Nyyelp
⭐
18
predicting yelp review rating using recurrent neural networks
Cf_step
⭐
17
Incremental learning for recommender systems
Amazon Reviews
⭐
17
Sentiment Analysis & Topic Modeling with Amazon Reviews
Big Data Recommender Systems
⭐
17
Télécom Paris | MS Big Data | SD 701 | Big Data Mining Course Project using Spark and Google Colab for building Scalable Recommender Systems
Ant_tianchi_ccf_positioning
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16
2017CCF大数据与计算智能大赛-蚂蚁金服-商铺定位赛题(全国第5名)
Amazon Fine Food Review
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16
Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review
Claimskg Extractor
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16
Claim Review extractor for ClaimsKG
Hypergradient_variants
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16
Improved Hypergradient optimizers, providing better generalization and faster convergence.
Cdc Wonder Api
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16
This repo provides examples in python for creating, sending, and processing a request from the CDC WONDER API, specifically for the Detailed Mortality database. For a reference of the available codes/parameters, see the wiki.
Options Calculator
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15
Option Calculator using Black-Scholes model and Binomial model
Whoscored
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15
Football player rating analysis and position recommendation
Ijcai 18 Alimama Sponsored Search Conversion Rate Cvr Prediction Contest
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14
Source Code of IJCAI-18 Alimama Sponsored Search Conversion Rate Prediction Contest
Deep Learning Notebooks
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14
Collection of my implementations of various papers and the stuff I like.
Fitbit
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14
Code and Explanations of popular tutorial on collecting Heart Rate Data
Uber Rider Churn Analysis
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14
Uber is interested in predicting rider retention. To help explore this question, they have provided a sample dataset of a cohort of users.
Springboard Coursework
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13
Data Science Mini-Projects with Python
Netflix Recommender System
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13
ITCS 6190 : Cloud Computing for Data Analysis project. Movie Recommendation Engine for Netflix Data with custom functions implementation and library usage.
Pytorch Handwritingctc
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13
CTC handwriting transcription model written in pytorch
Centralbank_analysis
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12
Analyze central bank announcements
Twords
⭐
12
Twitter Word Frequency Analysis
Deeprecommender
⭐
11
Training Deep AutoEncoders for Collaborative Filtering
Phbs_ml_for_quant_project
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11
Hawkwatchers
⭐
11
predicting US Federal interest rate changes using the text of Fed press releases
Restaurant Recommendations With Yelp
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11
🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.
Project Luther
⭐
11
Second project in Metis Data Science Bootcamp
Predict Churn
⭐
11
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