Pinned Repositories
mTree
Computational Experimental Economics Platform
aws-docker-talk
dsi-dc-7-talk
Material for guest lecture delivered at General Assembly DC to the seventh Data Science Immersive cohort.
explor
Python package to perform exploratory data analysis
imagenet-downloader
Utility for downloading images from image-net.org
mario.ai
Reinforcement learning in Nintendo's Super Mario Bros.
pytorch-image-classifiers
Image classifiers in PyTorch.
timer
A simple way of monitoring runtimes
word-embedding
Tools to use and train word embeddings.
messiest's Repositories
messiest/timer
A simple way of monitoring runtimes
messiest/imagenet-downloader
Utility for downloading images from image-net.org
messiest/ao3-nlp
messiest/applied-recommender-systems-python
Source Code for 'Applied Recommender Systems with Python' by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, and V Adithya Krishnan
messiest/autoencoder_classifier
Autoencoder model for rare event classification
messiest/best-pedals
messiest/birds
messiest/cats-v-dogs
Image classifier trained with Dog and Cat images from pixabay.com
messiest/cma-awards-analysis
Analyzing the winners of the Country Music Association (CMA) Awards to demonstrate the analytics process.
messiest/cv2-paintbrush
Using the mouse as a paintbrush with cv2.
messiest/digit
Code for Digit
messiest/dlaicourse
Notebooks for learning deep learning
messiest/dlrm
An implementation of a deep learning recommendation model (DLRM)
messiest/fruits-360
Image classification with the Fruits 360 dataset.
messiest/kalman-filter
An explainer on using Kalman filters for stochastic inference.
messiest/ml-web-app
messiest/models
Models and examples built with TensorFlow
messiest/picoGPT
An unnecessarily tiny implementation of GPT-2 in NumPy.
messiest/playground
messiest/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
messiest/pymc3-demo
A simple example of how to use PyMC3 to perform Bayesian inference.
messiest/random-kaggle-dataset
A means of choosing and downloading a random dataset from Kaggle.
messiest/recommender-experiments
messiest/resources
PyMC3 educational resources
messiest/rock-paper-scissors-simulator-extreme
messiest/shapes
messiest/sqlalchemy-demo
messiest/taskmaster-stats
messiest/tf-gan
messiest/tfp-work
A repository to store worked TensorFlow Probability examples from Bayesian Methods for Hackers.