ecobost

song-describer-dataset

The Song Describer dataset is an evaluation dataset made of ~1.1k captions for 706 permissively licensed music recordings.

notero

A Zotero plugin for syncing items and notes into Notion

audio-ai-timeline

A timeline of the latest AI models for audio generation, starting in 2023!

yappi

Yet Another Python Profiler, but this time multithreading, asyncio and gevent aware.

audio-diffusion-pytorch

Audio generation using diffusion models, in PyTorch.

hyperimpute

A framework for prototyping and benchmarking imputation methods

benchmark_VAE

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

datajoint-plus

A DataJoint extension that integrates hashes and other features.

betterposter-latex-template

LaTeX Template for Mike Morrison's #betterposter

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

beta-tcvae

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

nnUNet

med_segmentation

semantic segmentation for magnetic resonance imaging

wandb

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

petastorm

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

shap

A game theoretic approach to explain the output of any machine learning model.

pytorch-vqvae

Vector Quantized VAEs - PyTorch Implementation

yapf

A formatter for Python files

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Multi-View-Information-Bottleneck

Implementation of Multi-View Information Bottleneck

pytorch-i-revnet

i-RevNet Pytorch Code

napari

napari: a fast, interactive, multi-dimensional image viewer for python

ddtn

Repository for our upcoming code, that we used for our "Deep diffeomorphic transformer networks" paper (Accepted to CVPR 2018). Will be update during the spring of 2018.

QCANet

Convolutional Neural Network-Based Instance Segmentation Algorithm to Acquire Quantitative Criteria of Early Mouse Development

dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

moments_models

The pretrained models trained on Moments in Time Dataset

diverse_feature_vis

Code for Cadena et. al 2018 ECCV Diverse feature visualizations reveal invariances in early layers of deep neural networks.

black

The uncompromising Python code formatter