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Various Community Health Files

ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bladderdataset

This machine learning system can diagnose 2 acute inflammations of bladder. The medical dataset contains features and diagnoses of 2 diseases of the urinary system: Inflammation of urinary bladder and nephritis of renal pelvis origin. This medical dataset truly needs privacy! Because we cannot divulge the sexually-transmitted diseases of patients. So, what we learned about PySyft and OpenMined is applied in this project. Federated learning will protect the privacy of datasets in each hospital and at the same time, a more robust machine learning model will benefit all hospitals. Why? Because the machine learning model generated in this project is 100% accurate; whereas human doctors can commit mistakes when diagnosing these 2 diseases.

causalml

Uplift modeling and causal inference with machine learning algorithms

causalml-1

A course on causal machine learning.

computational-physics

Select code from my undergraduate computational physics course.

deep-buildings

deep-learning-paper-notes

Summaries, notes, questions on Deep Learning research papers.

deep-trading

Algorithmic trading with deep learning experiments

devex

Mean app for bc developers exchange

electricitymap-contrib

A real-time visualisation of the CO2 emissions of electricity consumption

environmental_intelligence

Data for Environmental Intelligence: A mega list of Earth System Datasets covering earth observations, climate, water, forests, biodiversity, ecology, protected areas, natural hazards, marine and the tracking of UN's Sustainable Development Goals

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

map-elites

Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization

mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

mbrl-hvac-energy-optimization

A reference solution for using model-based reinforcement learning to train energy utilization-minimizing HVAC control agents. Developed by TELUS with support from Vector Institute.

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

node-weather

Implementing node weather tutorial

nowcasting_dataset

Prepare batches of data for training machine learning solar electricity nowcasting data

openmordm

OpenMORDM is an open source R library for Multiobjective Robust Decision Making (MORDM)

predict_pv_yield

Use machine learning to map from satellite imagery of clouds to solar PV yield

probability

Probabilistic reasoning and statistical analysis in TensorFlow

project-euler

pycx

PyCX is a Python-based sample code repository for complex systems research and education.

pytorch-cyclegan-and-pix2pix

Image-to-Image Translation in PyTorch

requests-for-research

A living collection of deep learning problems

rl-testbed-for-energyplus

Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus

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