Noah Golmant

pytorch-hessian-eigenthings. Efficient PyTorch Hessian eigendecomposition tools!

pytorch-lars. "Layer-wise Adaptive Rate Scaling" in PyTorch

skeletor. A tiny module for machine learning experiment orchestration

SGLD. Stochastic Gradient Langevin Dynamics for Bayesian learning

pytorch-lr-dropout. "Learning Rate Dropout" in PyTorch

label-tiles. Label geospatial data with tile servers

facial-keypoints-detection. Tensorflow CNN for facial keypoints detection

py-audio-analysis. Python audio analysis modules to view frequency and amplitude data from an audio file

HyperdimMNIST. MNIST with basic hyperdimensional computing

shiftnet_styletransfer. Fast style transfer using shiftnet

news-aggregator. Clusters and measures relatedness of news articles pulled from RSS feeds

readthedocs-tutorial. Python

Audio-Processing-Pipeline. Prototype for audio analysis using modular pipeline structure to parallelize fourier transform application, filtering, etc

RL-squared. Implementation of RL^2 in tensorflow and OpenAI gym

incremental-logistic-regression. Jupyter Notebook

simpledgn. A simple deep G network from "Taming the Noise in Reinforcement Learning via Soft Updates"

DQN. Deep Q-Network in tensorflow

spark-vectorizer. Uses Apache Spark to create a TF-IDF model of a corpus and perform k-means clustering.