mginabluebox's Stars
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
twitter/the-algorithm
Source code for Twitter's Recommendation Algorithm
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
microsoft/recommenders
Best Practices on Recommendation Systems
onnx/models
A collection of pre-trained, state-of-the-art models in the ONNX format
0nn0/terminal-mac-cheatsheet
List of my most used commands and shortcuts in the terminal for Mac
aaronwangy/Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
DeepGraphLearning/graphvite
GraphVite: A General and High-performance Graph Embedding System
eliorc/node2vec
Implementation of the node2vec algorithm.
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
twosigma/flint
A Time Series Library for Apache Spark
atulkum/pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
visual-ml-notes/visual-machine-learning-notes
Machine Learning Conference & Summer School Notes. 🦄
intoli/intoli-article-materials
All of the supporting materials for articles from Intoli's blog.
melaniewalsh/Intro-Cultural-Analytics
Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book
apurvmishra99/facebook-scraper-selenium
danielepanozzo/cg
alisiahkoohi/Langevin-dynamics
Sampling with gradient-based Markov Chain Monte Carlo approaches
dmpierre/LINE
A PyTorch implementation of the LINE paper.
davidrosenberg/ttml2021fall
DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
ShwetanshuSingh/data-science-list
A guide-book to get familiar and started on various technologies and tools in the Data Science space
HLTCHKUST/sensational_headline
This is the repo for sensational headline generation of our published paper in EMNLP 2019
wendazhou/cds-bootcamp
fany02656/Typicality_project
mginabluebox/sensational_headline
This is the repo for sensational headline generation of our published paper in EMNLP 2019