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awesome-codejam-resources
💫 A curated list of pattern recognition resources for CodeJam 2019
https://github.com/mcgill-ecsess/awesome-codejam-resources
- Learn Git Branching - Interactive tutorial to learn Git, the most popular version control system for collaborative programming.
- What's an API? - Learn how to use external services in your projects.
- A Beginner’s Guide to HTTP and REST - A more in-depth guide on how to use REST APIs.
- Automate the Boring Stuff with Python - An in-depth series of tutorials to learn how to code in Python. If you don't know what language to use, Python is a good start!
- Roadmap to Fullstack Web Development - Web projects are some of the easiest to make during a hackathon. Learn more about different technologies that are commonly used!
- Google Machine Learning Crash Course - If you want to ramp up quick on machine learning.
- Titanic: Machine Learning from Disaster - A beginner-friendly prediction competition.
- Visual Studio Code - Your favorite programmer's favorite text editor.
- GitHub Desktop - Easy-to-use Git GUI interface so you don't need to use the command line.
- Jupyter Notebooks - Powerful Python tool hosted as a web app useful for writing and organizing Machine Learning code. Very visually appealing and great for running code snippets.
- Postman - REST API testing tool.
- Mega Boilerplate
- Hackathon Starter
- React Boilerplate
- brain.js
- CoreNLP
- Keras
- Leaflet
- Natural for node.js
- NLTK
- Numpy
- Octave
- OpenCV
- PyTorch
- scikit-learn
- Tensorflow
- Tensorflow JS
- TextBlob
- tracking.js
- ArcGIS for Developers
- AWS Transcribe
- Clarifai
- Dialogflow
- GIS Cloud JavaScript API
- Google Cloud Vision
- IBM Watson Speech to Text
- IBM Watson Text to Speech
- IBM Watson Visual Recognition
- Microsoft Azure Cognitive Services
- Microsoft LUIS
- 36th Parliament of Canada Debates Dataset
- Amazon Q&A Dataset
- Australian Government Data
- Cat Images Dataset (purrrfect)
- Flickr Thematic Image Datasets
- Food Images Dataset
- Geographic Datasets
- Google Data Set Search
- Home Depot Search Queries Dataset
- IMDB Dataset
- Kaggle Datasets
- Microsoft Building Footprint Data
- Microsoft GPS Trajectories Dataset
- Microsoft T-Drive Dataset: Taxi One-Week Trajectories
- Open NYC Data
- Reddit Comments DataSet
- Stanford Car Images Dataset
- Stanford House Numbers Dataset
- Wikipedia Toxic Comment Classification Challenge
- Yelp Dataset (businesses, reviews, and user data)
- Model Depot
- Model Zoo
- Amazon Web Services
- Google Colab
- Google Cloud Platform
- IBM Watson
- Microsoft Azure
- AWS Elastic Beanstalk
- Heroku
- Netlify
Programming Languages
Keywords
nodejs
2
boilerplate
1
hackathon
1
oauth2
1
starter-kit
1
i18n
1
immer
1
offline-first
1
react
1
react-boilerplate
1
redux
1
redux-saga
1
scaffolding
1
styled-components
1
webpack4
1
api
1
brain
1
browser
1
convolutional-neural-networks
1
easy-to-use
1
neural-network
1
node
1
recurrent-neural-networks
1
stream
1
web
1
named-entity-recognition
1
natural-language-processing
1
nlp
1
nlp-parsing
1
stanford-nlp
1