Popular GitHub Repositories for Reproducible Research

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI

High-fidelity performance metrics for generative models in PyTorch

PyCIL: A Python Toolbox for Class-Incremental Learning

A research tool for the Iterated Prisoner's Dilemma

GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

? PILOT: A Pre-trained Model-Based Continual Learning Toolbox

Reference implementations of popular Binarized Neural Networks

Pure PyTorch implementation of Nvidia's hash grid encoding: https://nvlabs.github.io/instant-ngp/

Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge

End-to-end-Sequence-Labeling-via-Bi-directional-LSTM-CNNs-CRF-Tutorial

Self-Explaining Neural Networks

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

A simple flask application to collect annotations for the Turing Change Point Dataset, a benchmark dataset for change point detection algorithms

Time-Sensitive Deep Learning for ICU Outcome Prediction Without Variable Selection or Cleaning.

Code for Probabilistic Sequential Matrix Factorization

Implementation of Iterative Machine Teaching algorithm with PyTorch.

Model development, deployment, and evaluation for forecasting Portal ecosystem dynamics