Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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Updated
Oct 31, 2020 - Jupyter Notebook
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Collection of notebooks about quantitative finance, with interactive python code.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Create delightful python projects using Jupyter Notebooks
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Repository to store sample python programs for python learning
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Try out deep learning models online on Google Colab
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
An open-source plotting library for statistical data.
A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.
H2O.ai Machine Learning Interpretability Resources
The hands-on NLTK tutorial for NLP in Python
interactive notebooks from Planet Engineering
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
declarative and reproducible Jupyter environments - powered by Nix
A web frontend for scheduling Jupyter notebook reports
A collection of Jupyter Notebooks for learning Python for Data Science.
(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
For example, .git is shown in the docker-compose setup from #14
A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
massively parallel experimentation with Jupyter and AWS Lambda
OpenDS4All project, hosted by LF AI & Data
Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python
Collection of jupyter notebooks
Convert Jupyter notebook to Excel spreadsheet
Notebooks for the SciPy 2017 tutorial "The Jupyter Interactive Widget Ecosystem"
Inline data annotator for Jupyter notebooks
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Thanks to u/JBarreraGT on reddit. He gave me a source of information that we could use to add static information for games.
http://data.nba.com/data/10s/v2015/json/mobile_teams/nba/2018/league/00_full_schedule.json
This link looks like it contains the full schedule with GameIDs along with additional information.