AlexMRuch
Head of Community / Graph ML @Lore.co. Previously @SPGlobal, @SpotifyEng, @Graphika_NYC. Cornell PhD. Graphs, ML, NLP, MLOps, experiments.
LoreDallas, TX
AlexMRuch's Stars
interpretml/interpret-text
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
ydataai/ydata-profiling
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Ashton-Sidhu/plotly-graph
Create interactive network graph visualizations.
PatrikHlobil/Pandas-Bokeh
Bokeh Plotting Backend for Pandas and GeoPandas
dustinstoltz/CMDist
DEPRECATED - The Concept Mover's Distance Method is now available in the text2map package. Concept Mover's Distance is a way to measure a document's conceptual engagement using word embeddings.
jayheo/UA
fastai/fastbook
The fastai book, published as Jupyter Notebooks
pytorch/serve
Serve, optimize and scale PyTorch models in production
UKPLab/sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
szymonmaszke/torchlayers
Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
fenglixu/RecoGCN
A tensorflow implementation of the RecoGCN model in a CIKM'19 paper, titled with "Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation".
kevalmorabia97/SEDTWik-Event-Detection-from-Tweets
Segmentation based event detection from Tweets. Published at NAACL SRW 2019
ctgk/PRML
PRML algorithms implemented in Python
Lightning-AI/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
r0zetta/twitter_gather
The latest version of my Twitter data collection and analysis tools
r0zetta/meta_embedding_clustering
Clustering of tweets based on textual content using meta embeddings and community detection
alexminnaar/time-series-classification-and-clustering
Time series classification and clustering code written in Python.
peterewills/NetComp
Comparative metrics for dynamic networks in Python
DeepGraphLearning/KnowledgeGraphEmbedding
junipertcy/bipartiteSBM
A Bayesian model+algorithm for community detection in bipartite networks
maria-antoniak/goodreads-scraper
A Python scraper for Goodreads books and reviews.
yaysummeriscoming/DALI_pytorch_demo
Example code showing how to use Nvidia DALI in pytorch, with fallback to torchvision. Contains a few differences to the official Nvidia example, namely a completely CPU pipeline & improved memory usage
facebookresearch/hiplot
HiPlot makes understanding high dimensional data easy
benedekrozemberczki/karateclub
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Sujit-O/pykg2vec
Python library for knowledge graph embedding and representation learning.
tslearn-team/tslearn
The machine learning toolkit for time series analysis in Python
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
Separius/awesome-sentence-embedding
A curated list of pretrained sentence and word embedding models
wwbp/word_and_phrase_correlations
What words and phrases are characteristic of age, gender, and the Big Five personality traits?
tensorflow/tfjs-models
Pretrained models for TensorFlow.js