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2014

Official content for the Fall 2014 Harvard CS109 Data Science course

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

amazon-forecast-samples

Notebooks and examples on how to onboard and use various features of Amazon Forecast.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

anfspy

Auctioneer for networked federated systems

appsecassignment3.1

attention-clx-stock-prediction

Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

aws-ai-qna-bot

Code samples related to "Creating a Question and Answer Bot with Amazon Lex and Amazon Alexa", published on the AWS AI Blog. QnABot (pronounced “Q and A Bot”), uses Amazon Lex and Amazon Alexa to provide a conversational interface to your “Questions and Answers”, so users can just ask their questions and get quick and relevant answers.

aws-cli

Universal Command Line Interface for Amazon Web Services

baml

This is a fun project

bitcoin-taxes

Compute capital gains/losses based on your trades.

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

cnn-lstm

CNN LSTM architecture implemented in Pytorch for Video Classification

cnn_smoothie

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

convmixer

Implementation of ConvMixer for "Patches Are All You Need? 🤷"

deep-portfolio-management-reinforcement-learning

This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

deep-reinforcement-learning-in-large-discrete-action-spaces

Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym

deeprl-tensorflow2

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

distance-metrics-learning

docker-ml-cookiecutter

Dockerized ML Cookiecutter

ds-manifoldai-test-cookiecutter

effectivepython

Effective Python: Source Code and Errata for the Book

einstein

Qunatum to Universe

flask-postgres-heroku

Making a Flask app using a PostgreSQL database and deploying to Heroku

gluon-ts

Probabilistic time series modeling in Python

google-api-python-client

gym

A toolkit for developing and comparing reinforcement learning algorithms.

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.