Pinned Repositories
awesome-machine-learning-python
Machine and Deep Learning in Python
BreakingNews
Architect is a Jekyll theme for GitHub Pages
canada-transit-access
code for computing, analyzing, and visualizing measures of transit accessibility
CanadaTax
Shiny App to visualize Tax Payments in Canada
cancensus
R wrapper for calling CensusMapper APIs
categorical-encoding
A library of sklearn compatible categorical variable encoders
char_embs
NLP
NLP resources for the CS224d Series
TorontoDataScientistsWithoutBorders.github.io
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TorontoDataScientistsWithoutBorders's Repositories
TorontoDataScientistsWithoutBorders/TorontoDataScientistsWithoutBorders.github.io
Build a Jekyll blog in minutes, without touching the command line.
TorontoDataScientistsWithoutBorders/BreakingNews
Architect is a Jekyll theme for GitHub Pages
TorontoDataScientistsWithoutBorders/canada-transit-access
code for computing, analyzing, and visualizing measures of transit accessibility
TorontoDataScientistsWithoutBorders/cancensus
R wrapper for calling CensusMapper APIs
TorontoDataScientistsWithoutBorders/categorical-encoding
A library of sklearn compatible categorical variable encoders
TorontoDataScientistsWithoutBorders/computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
TorontoDataScientistsWithoutBorders/d3_exercises
TorontoDataScientistsWithoutBorders/dedupe
:id: A python library for accurate and scaleable fuzzy matching, record deduplication and entity-resolution.
TorontoDataScientistsWithoutBorders/ETF_analysis
TorontoDataScientistsWithoutBorders/google-api-python-client
🐍 The official Python client library for Google's discovery based APIs.
TorontoDataScientistsWithoutBorders/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.
TorontoDataScientistsWithoutBorders/InferSent
Sentence embeddings (InferSent) and training code for NLI.
TorontoDataScientistsWithoutBorders/jupyter-webBook
:book: :snake: A webBook authoring framework using jupyter notebooks
TorontoDataScientistsWithoutBorders/LandUse
Land use determination and urbanization over time from landsat images
TorontoDataScientistsWithoutBorders/paragraph-vectors
:page_facing_up: A PyTorch implementation of Paragraph Vectors (doc2vec)
TorontoDataScientistsWithoutBorders/pixel_level_land_classification
Tutorial demonstrating how to create an image segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
TorontoDataScientistsWithoutBorders/PowerBI-visuals
Documentation for creating visuals for Power BI
TorontoDataScientistsWithoutBorders/Predicting-US-Presidential-Elections-TwitterData
Predicting US Presidential Elections Using Twitter Data
TorontoDataScientistsWithoutBorders/PyShortTextCategorization
Various Algorithms for Short Text Mining
TorontoDataScientistsWithoutBorders/pytorch_workplace
Random miniprojects with pytorch.
TorontoDataScientistsWithoutBorders/rDataTable
R custom visual for Microsoft Power BI based on DT / DataTables
TorontoDataScientistsWithoutBorders/sentiment-discovery
Unsupervised Language Modeling at scale for robust sentiment classification
TorontoDataScientistsWithoutBorders/short_text_cnn_cluster
Implement of paper Self-Taught Convolutional Neural Networks for Short Text Clustering using Keras.
TorontoDataScientistsWithoutBorders/SIS_ULMFiT
Text Analysis: Implementation of ULMFiT by Howard & Ruder on Twitter dataset
TorontoDataScientistsWithoutBorders/studyGroup
Welcome to the Toronto Data Scientists without Borders!
TorontoDataScientistsWithoutBorders/toronto_election_ward
TorontoDataScientistsWithoutBorders/uc-r.github.io
Main repository for R programming courses @ University of Cincinnati, courses and tutorials that focus on data wrangling, exploration, visualization, and analysis with R.
TorontoDataScientistsWithoutBorders/urban-environments
Code for constructing the urban environments dataset and for land use classification via convolutional neural networks
TorontoDataScientistsWithoutBorders/urban-informatics-and-visualization
Urban Informatics and Visualization (UC Berkeley CP255)
TorontoDataScientistsWithoutBorders/yelp-fusion
Yelp Fusion API