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bayesian_benchmarks

A community repository for benchmarking Bayesian methods

bayesiangan4adversarialattacks

client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

continuous-time-reading-group

Stanford reading group on continuous time models for machine learning

differentiable_t1d

Differentiable simulators for Type 1 Diabetes research in Jax and PyTorch

dynamax

State Space Models library in JAX

emmental

A deep learning framework for building multimodal multi-task learning systems.

firedup

Clone of OpenAI's Spinning Up in PyTorch

fpp3-python-readalong

Python-centered read-along of Forecasting: Principles and Practice

importance-weighting-interpolating-classifiers

Code for "Is Importance Weighting Incompatible with Interpolating Classifiers?"

interpretable-cgm-representations

Code for "Interpretable Mechanistic Representations for Meal-level Glycemic Control in the Wild" (ML4H 2023; selected for lightning talk)

jax-t1d-simulator

kondo

Scripts for making tidy plots

lower-the-entropy

A personal blog.

ml-beats

Using RNNs to generate rhythm

ml_template

A template for prototyping machine learning ideas in PyTorch

mlcites

This repository contains citation data for papers published in NeurIPS in 2014 - 2018, and ICML 2017, 2018. It also contains the code to collect this data.

molecularnotes

My Obsidian Second Brain setup

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

nn-template

Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, and DVC.

orie7191

Materials for ORIE 7191: Topics in Optimization for Machine Learning

pensieve

Notes on things I learned

pyrdatasets

1300 datasets from various R packages packed as DataFrames through compressed pickle files

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

qocs

scientific-visualization-exercises

Solutions to Rougier's Scientific Visualization, Python & Matplotlib book

scipytorch

Scientific computation routines in PyTorch

simple-ml

Simple machine learning algorithms for my own reference

ssm-jax

Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend